{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "960ceacb-3c3f-484c-95b9-172bd009b1a4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is a generic code for drawing a state's Home Districts for neutral map estimation\n",
      "In this code, we use the term 'tract' generically to refer the base building block, usually vtd's\n"
     ]
    }
   ],
   "source": [
    "#  THIS IS THE PRIMARY VERSION TO USE FOR ALL STATES  #from NJ 5/4/24 w/minor NY updates, and reducing enclave loop #\n",
    "print(\"This is a generic code for drawing a state's Home Districts for neutral map estimation\") #Jan'24\n",
    "print(\"In this code, we use the term 'tract' generically to refer the base building block, usually vtd's\")\n",
    "import shapely\n",
    "from shapely.geometry import Point, LineString, Polygon\n",
    "from shapely.ops import nearest_points, transform\n",
    "from shapely.affinity import translate, scale\n",
    "import geopandas as gpd\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from numpy import random\n",
    "from scipy.stats import norm\n",
    "from scipy.optimize import minimize, minimize_scalar\n",
    "import math\n",
    "import time\n",
    "import ast\n",
    "# from HDmethods import *   #I want to implement this, but my HDmethods require shapely functions\n",
    "# see https://stackoverflow.com/questions/66877728/proper-way-to-use-import-when-calling-external-function for a future workaround\n",
    "\n",
    "dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "#handy function for plotting Polygon or multiPolygon tracts and precincts\n",
    "def plotPoly(inputPoly,LW=1):\n",
    "    dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "    if inputPoly.geom_type == dummyPoly.geom_type:\n",
    "        x,y = inputPoly.exterior.xy\n",
    "        plt.plot(x,y,lw=LW)\n",
    "    else:\n",
    "        for geom in inputPoly.geoms:\n",
    "            if geom.area > 0:  #to avoid error with LineString geom parts\n",
    "                x,y = geom.exterior.xy\n",
    "                plt.plot(x,y,lw=LW)  \n",
    "def plotCenter(t,geom,FONTSIZE=10):\n",
    "    plt.text(geom.centroid.x,geom.centroid.y,t,ha='center',fontsize=FONTSIZE)\n",
    "    \n",
    "def r3(number):\n",
    "    result = round(number,3)\n",
    "    return result\n",
    "\n",
    "def r5(number):\n",
    "    result = round(number,5)\n",
    "    return result\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "2ab4a3d5-f4e7-4aec-b81c-0e786cd35b57",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def getWeightedAvgAndSD(LIST, WEIGHTS):  #from IN\n",
    "    nWeights = len(WEIGHTS)\n",
    "    normWeights = [WEIGHTS[i] / np.sum(WEIGHTS) for i in range(nWeights) ]\n",
    "    AVG = 0.\n",
    "    for i, value in enumerate(LIST):\n",
    "        AVG += normWeights[i] * value\n",
    "    sumVar = 0.\n",
    "    for i, value in enumerate(LIST):\n",
    "        sumVar += normWeights[i] * (value - AVG)**2\n",
    "    SD = sumVar ** 0.5     #don't need to normalize again since weights were normalized\n",
    "    return AVG, SD\n",
    "\n",
    "def squish(shapeList, cutLINE, farLINE, newFarLINE):\n",
    "    \"\"\"\n",
    "    This method compresses a list of shapes lying between the cutLINE and the farLINE)\n",
    "    such that the Polygons now lie between the cutLINE and the newFarLINE, which is closer to the cutLINE\n",
    "    Used to compress state outcroppings into a more compact state representation.\n",
    "     (I tried doing this point by point (see #'s), but this overdistorted geometries.)\n",
    "      (#This was a manual alternative to shapely.affinity.scale and .translate operations)\n",
    "       So instead, we run this AFTER established untransformed map topology, and \n",
    "        we simply scale and translate each unit.  This loses true connectivity.\n",
    "        Scaling is all lengths scale by compression of distance\n",
    "    The cut, far, and newFar LineString segments are preferably parallel\n",
    "    The method returns the modified shapes of all pollys\n",
    "    \"\"\"\n",
    "    if cutLINE.intersects(farLINE) or cutLINE.intersects(newFarLINE):\n",
    "        print(\"cutLine,farLine, newFarLine were\",cutLINE, farLINE, newFarLINE)\n",
    "        raise Exception(\"ERROR: the proposed cutLine intersects the current or proposed far line\")\n",
    "    newPollys = list()\n",
    "    for polly in shapeList:\n",
    "        pollyCP = polly.centroid\n",
    "        cutPt =     nearest_points(cutLINE,   pollyCP)[0]\n",
    "        farPt =     nearest_points(farLINE,   pollyCP)[0]\n",
    "        newFarPt =  nearest_points(newFarLINE,pollyCP)[0]\n",
    "        curr_cutX, curr_cutY =            pollyCP.x - cutPt.x, pollyCP.y -  cutPt.y\n",
    "        currFar_CutX , currFar_CutY  =    farPt.x - cutPt.x, farPt.y   -  cutPt.y\n",
    "        new_currFarX, new_currFarY =      newFarPt.x - farPt.x, newFarPt.y - farPt.y\n",
    "        newFar_CutX,  newFar_CutY =       newFarPt.x - cutPt.x, newFarPt.y   -  cutPt.y\n",
    "        distanceRatio = newFarPt.distance(cutPt)/farPt.distance(cutPt) #scale area ^length^2\n",
    "        XOFF,YOFF = 0., 0.\n",
    "        XFACT, YFACT = 1., 1.  #default = no stretch\n",
    "        # basic equation: (new-cut)/(curr-cut) = (newFar-cut)/(currFar - cut)\n",
    "        #  or: (new-curr)  = (curr-cut)*(newFar-currFar)/(currFar - cut)   # -1 to both sides\n",
    "        if currFar_CutX != 0:\n",
    "            XOFF =  curr_cutX * new_currFarX / currFar_CutX\n",
    "            XFACT =              newFar_CutX / currFar_CutX\n",
    "        if currFar_CutY != 0:\n",
    "            YOFF =  curr_cutY * new_currFarY / currFar_CutY\n",
    "            YFACT =              newFar_CutY / currFar_CutY\n",
    "        newPolly = translate(polly,xoff=XOFF,yoff=YOFF)\n",
    "        newPolly = scale(newPolly, xfact=XFACT, yfact=YFACT, origin='centroid')\n",
    "        newPollys.append( newPolly )       \n",
    "    return newPollys\n",
    "\n",
    "def getHDcp(TRACTCP,TRACTPOP, TRACTLIST, SPLITTRACTNO = -777,SPLITTRACTUSE = 1.):  #population centerpoint of a Home District or county (cluster)\n",
    "    cpx, cpy, sumPop = 0.,0., 0.\n",
    "    for tt in TRACTLIST:\n",
    "        USE = 1.\n",
    "        if tt ==    SPLITTRACTNO:\n",
    "            USE =   SPLITTRACTUSE\n",
    "        sumPop += USE*TRACTPOP[tt]\n",
    "        cpx +=    USE*TRACTPOP[tt] * TRACTCP[tt].x\n",
    "        cpy +=    USE*TRACTPOP[tt] * TRACTCP[tt].y\n",
    "    HDCP_ = Point(cpx/sumPop, cpy/sumPop)\n",
    "    return HDCP_\n",
    "\n",
    "#  The below four methods are TO SNAP to HD SHAPES without any solving / iteration\n",
    "def buildWedge(CP,STARTANGLE, ENDANGLE, RR,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    This method creates triangular wedges from a centerpoint, wedge start and end angles, and wedge radius.\n",
    "    The optional xScale parameter is the ratio of longitude to latitude lengths scales (<<1 for far from equator)\n",
    "    It passes back a SINGLE wedge polygon\n",
    "    \"\"\"\n",
    "    A0 = STARTANGLE\n",
    "    A1 = ENDANGLE\n",
    "    PT1 = Point(CP.x + RR/XSCALE*math.cos(A0),  CP.y + RR*math.sin(A0) )\n",
    "    PT2 = Point(CP.x + RR/XSCALE*math.cos(A1),  CP.y + RR*math.sin(A1) )\n",
    "    WEDGEPOLY = Polygon( [CP,PT1, PT2 ])\n",
    "    return WEDGEPOLY\n",
    "\n",
    "def buildPoly(CP, RADII, ANGLES, XSCALE = 1.0):  #reconstructs a 4-tri polygon from four HD wedges emanating from the centerpoint\n",
    "    Pt = [Point(0,0)]*12                      #xScale has same meaning as in buildWedge\n",
    "    for nW in range(4): \n",
    "        ccwAngle = ANGLES[nW]  #these two are the angles at start and end of nth wedge\n",
    "        cwAngle =  ANGLES[ int((nW+1)%4) ]  \n",
    "        Pt[nW*2] =   Point(CP.x + RADII[nW]/XSCALE*math.cos(ccwAngle), CP.y + RADII[nW]*math.sin(ccwAngle) )\n",
    "        Pt[nW*2+1] = Point(CP.x + RADII[nW]/XSCALE*math.cos( cwAngle), CP.y + RADII[nW]*math.sin( cwAngle) )        \n",
    "    POLLY = Polygon([Pt[0],Pt[1],Pt[2],Pt[3],Pt[4],Pt[5],Pt[6],Pt[7] ])\n",
    "    return POLLY\n",
    "\n",
    "def buildArcPoly(CP, RADII, ANGLES, XSCALE = 1.0):  #reconstructs a fuller polygon from four HD wedges emanating from the centerpoint\n",
    "    twoPi = 2. * 3.1415926   #xScale has same meaning as in buildWedge\n",
    "    POINTS = list()                   \n",
    "    for nW in range(4): \n",
    "        ccwAngle = ANGLES[nW] % twoPi                 #these two are the angles at start and end of nth wedge\n",
    "        cwAngle =  ANGLES[ int((nW+1)%4) ] % twoPi \n",
    "        midAngle = [0.75*ccwAngle + 0.25*cwAngle , 0.25*ccwAngle + 0.75*cwAngle ]  #avoid s sampling cone center for wide angles\n",
    "        if abs (ccwAngle - cwAngle) > 3.1415926 :  #angles straddle angle=0\n",
    "            midAngle = [0.75*(ccwAngle - twoPi) + 0.25*cwAngle , 0.25*(ccwAngle -twoPi) + 0.75*cwAngle ]\n",
    "        angList = [ccwAngle] + midAngle + [cwAngle]\n",
    "        for ang in angList:\n",
    "            POINTS.append(Point(CP.x + RADII[nW]/XSCALE*math.cos(ang), CP.y + RADII[nW]*math.sin(ang) ) )\n",
    "                          \n",
    "    POLLY = Polygon(POINTS)\n",
    "    return POLLY\n",
    "\n",
    "def getPolyPop(POLLY, TRACTCP, TRACTPOP, CANDIDATELIST ):  #simple capture of pop points contained by a polygon\n",
    "    WPOP, WLIST = 0., list()\n",
    "    for tt in CANDIDATELIST:\n",
    "        if POLLY.contains(TRACTCP[tt]):\n",
    "            WPOP += TRACTPOP[tt]\n",
    "            WLIST.append(tt)\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getNonCPP(POLLY, HC, TRACTCP, TRACTPOP, COUNTYGEOM, COUNTYPOP, COUNTYTRACTLIST, NEIGHBORCOUNTYLIST) : #nonCounty wedgePop\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a POLLY polygon for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than probing every unit in the map\n",
    "    After each county is checked, it goes into the checked list so we don't re-check, then we recursively probe county neighbors\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]   #dynamic list of counties we've already checked.  We probed the home county in getPolyPop\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if POLLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if POLLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getNonHCunits(POLLY, HC, UNITLIST, UNITCP, UNITPOP, ALLFUSEDCOUNTIES, AREAFRAC, COUNTYGEOM, \n",
    "                  NEIGHBORCOUNTYLIST, COUNTYUNITLIST):\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a POLLY polygon for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county.  This should be more efficient than probing every unit in the map\n",
    "    After each county is checked, it goes into the checked list so we don't re-check, then we recursively probe county neighbors\n",
    "    \"unit counties\" are added as whole units if a sufficient area fraction is captured.  For non-unitCs, we probe each component vtd / tract\n",
    "    \"\"\"\n",
    "    UPOP, ULIST = 0., list()\n",
    "    checkedClist = [HC]   #dynamic list of counties we've already checked.  We probed the home county before we called this method\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        #1/9/24 - DO WE NEED TO MODIFY THE ORDER BELOW TO AVOID CREATING HOLES AND ENCLAVES ??  #\n",
    "        \n",
    "        for c in latestClist:\n",
    "            for cc in list( set(NEIGHBORCOUNTYLIST[c]).difference(set(ALLFUSEDCOUNTIES)) ):\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        if cc+0.5 in UNITLIST:\n",
    "                            if POLLY.intersection(COUNTYGEOM[cc]).area >=  AREAFRAC[cc] * COUNTYGEOM[cc].area :\n",
    "                                intersectedClist.append(cc)   #for unit counties, intersections count only if they capture sufficient area\n",
    "                                newClist.append(cc)\n",
    "                                UPOP += UNITPOP[UNITLIST.index(cc+0.5)]\n",
    "                                ULIST.append( UNITLIST.index(cc+0.5) )\n",
    "                        else:                           \n",
    "                            intersectedClist.append(cc)\n",
    "                            newClist.append(cc)\n",
    "                            if POLLY.contains(COUNTYGEOM[cc]):\n",
    "                                unitsToAdd = COUNTYUNITLIST[cc]\n",
    "                                UPOP += np.sum(  [ UNITPOP[uu] for uu in unitsToAdd ]  )\n",
    "                                ULIST += unitsToAdd\n",
    "                            else:\n",
    "                                for uu in COUNTYUNITLIST[cc]:\n",
    "                                    if POLLY.contains(UNITCP[uu]):\n",
    "                                        UPOP += UNITPOP[uu]\n",
    "                                        ULIST.append(uu)\n",
    "        latestClist = newClist.copy()\n",
    "        \n",
    "    return UPOP, ULIST\n",
    "\n",
    "def clusterSwell(CP_, CCBgeom, CCBpop, allUnits, unitCP, unitPop, unitNbrs, borderUnits, TGTPOP):\n",
    "    \"\"\"\n",
    "    This method grows a Home District by \"swelling\" from a corner county cluster.  First, we add the full cluster,\n",
    "     then we add closest neighbor units to the home district centerpoint CP_ until we reach the TGTPOP\n",
    "     new for MN 4/7/24 - don't enforce contiguity here -- too slow -- fix in cleanup stage instead\n",
    "     \"\"\"\n",
    "    hd_CCBdist = [CP_.distance(geo) for geo in CCBgeom]\n",
    "    CCBno = hd_CCBdist.index(np.min(hd_CCBdist))  #ID's the closest cluster to this HD center.  Should contain the HD, but rarely will not\n",
    "    unitNo = allUnits.index(CCBno+0.25)\n",
    "    newList, prevList, addedList, addedPop = [unitNo], [unitNo], [unitNo], unitPop[unitNo]  #seed with the cluster pop and unit\n",
    "    while addedPop < 0.99 * TGTPOP and len(newList) > 0:\n",
    "        tryList = getAdjoiners(addedList,unitNbrs)\n",
    "        tryDist = [ CP_.distance(unitCP[UU]) for UU in tryList ]\n",
    "        idx = np.argsort(tryDist)\n",
    "        idxNo, newList = 0, list()\n",
    "        haveNotAdded = True\n",
    "        while idxNo < len(tryList) and haveNotAdded:\n",
    "            UU = tryList[idx[idxNo]]\n",
    "            if unitPop[UU] + addedPop < 1.01 * TGTPOP :  #and wontEnclave(UU, addedList, unitNbrs, borderUnits) :  #we'll post-fix contig'y\n",
    "                newList.append(UU)\n",
    "                addedList.append(UU)\n",
    "                addedPop += unitPop[UU]\n",
    "                haveNotAdded = False\n",
    "            idxNo +=1\n",
    "        prevList = newList.copy()\n",
    "        \n",
    "    return addedPop, addedList\n",
    "            \n",
    "def getFakeHC(HDPOLLY, HC, CCBlist, countyGeom, MAP) :\n",
    "    \"\"\"\n",
    "    This method is for setting a fake home county for counties in corner clusters, so that county neighbors can be found budding from the \"home county\"\n",
    "    We pick the county in the cluster closest to the map center and intersecting the HDpoly.  This will be an active county on the cluster boundary   \n",
    "    \"\"\"\n",
    "    MAPcenter = MAP.centroid\n",
    "    for L in CCBlist:\n",
    "        if HC in L:\n",
    "            distList, cList = list(), list()\n",
    "            for C in L:\n",
    "                if HDPOLLY.intersects(countyGeom[C]):\n",
    "                    distList.append(countyGeom[C].distance(MAPcenter))\n",
    "                    cList.append(C)\n",
    "    fakeHC = cList[distList.index(np.min(distList)) ]\n",
    "    return fakeHC\n",
    "\n",
    "def getLongDist(CP1, CP2, xScale = 1.0): #distance between two points with EW distance scaled down by latitude\n",
    "    #LAT = MAP.centroid.y\n",
    "    #xScale = (1. - 1.089* abs(LAT/90)**1.9)\n",
    "    dist = ( xScale*xScale * (CP1.x - CP2.x)*(CP1.x - CP2.x)  +  (CP1.y - CP2.y)*(CP1.y - CP2.y) ) **0.5 \n",
    "    return dist\n",
    "\n",
    "# THESE ARE THE METHODS USED IN SOLVING HD SHAPES\n",
    "def buildWedge(CP,STARTANGLE, ENDANGLE, RR,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    This method creates triangular wedges from a centerpoint, wedge start and end angles, and wedge radius.\n",
    "    It passes back a SINGLE wedge polygon\n",
    "    \"\"\"\n",
    "    A0 = STARTANGLE\n",
    "    A1 = ENDANGLE\n",
    "    PT1 = Point(CP.x + RR/XSCALE*math.cos(A0),  CP.y + RR*math.sin(A0) )\n",
    "    PT2 = Point(CP.x + RR/XSCALE*math.cos(A1),  CP.y + RR*math.sin(A1) )\n",
    "    WEDGEPOLY = Polygon( [CP,PT1, PT2 ])\n",
    "    return WEDGEPOLY\n",
    "\n",
    "def getCountyWP(T, WEDGEPOLY, TRACTCP, TRACTPOP, CANDIDATELIST ):  #simple capture of pop points in a wedge excluding a point\n",
    "        WPOP, WLIST = 0., list()\n",
    "        for tt in CANDIDATELIST:\n",
    "            if tt != T and WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                WPOP += TRACTPOP[tt]\n",
    "                WLIST.append(tt)\n",
    "        return WPOP, WLIST\n",
    "\n",
    "def getNonCWP(WEDGEPOLY, HC, TRACTCP, TRACTPOP, COUNTYGEOM, COUNTYPOP, COUNTYTRACTLIST, NEIGHBORCOUNTYLIST) : #nonCounty wedgePop\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by an infinite polygonal wedge for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than going tract-by-tract\n",
    "    After each county is checked, it goes into the checked list so we don't re-check.  Next round = nonchecked neighbors of current round\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if WEDGEPOLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if WEDGEPOLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def isIncludedA(STARTa, ENDa, TESTa): #determines if a test angle is between a start and end angle (True)\n",
    "    \"\"\"\n",
    "    The start angle must be less than the end angle when placed on the [0, 2 pi] interval  (ccw convention)\n",
    "    \"\"\"\n",
    "    pi = 3.141592653\n",
    "    STARTa, ENDa, TESTa = STARTa % (2.*pi), ENDa % (2.*pi), TESTa % (2.*pi)  #place on the 2pi interval\n",
    "    isIncludedA = False\n",
    "    if STARTa  > ENDa :  #included angle straddles east\n",
    "        if   TESTa  >= STARTa or TESTa < ENDa :  #near-east between the two\n",
    "            isIncludedA = True\n",
    "    else:\n",
    "        if TESTa >= STARTa and TESTa < ENDa :  #normal case\n",
    "            isIncludedA = True\n",
    "    return isIncludedA\n",
    "\n",
    "def getNonCWP_c(STARTANGL, ENDANGL, HC, TRACTCP,TRACTPOP,COUNTYGEOM,COUNTYPOP,COUNTYTRACTLIST,\n",
    "                                    NEIGHBORCOUNTYLIST, UUDIST, UUANGLE, WEDGEPOLY) :\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a polygonal wedge for counties contiguous with the Home County (no hop-overs),\n",
    "    EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than going tract-by-tract\n",
    "    After each county is checked, it goes into the checked list so we don't re-check.  Next round = nonchecked neighbors of current round\n",
    "    Unlike its getNonCWP vanilla parent, this one uses angles rather than infinite wedges for units (still wedges for counties)\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if WEDGEPOLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if WEDGEPOLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if isIncludedA(STARTANGL, ENDANGL, UUANGLE[tt]): #WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getExitAngle(CP,WEDGEPOLY, MAP, A0, A1):\n",
    "    \"\"\"\n",
    "    This code determines the orientation angle from a CenterPoint to the intersection of a wedge with an exterior boundary\n",
    "    If an intersection is not found, we just take the average angle of the wedge start/stop angles A0, A1 as this orientation angle\n",
    "    MAP must be a single polygon for this to work in the revised code (tho could run thru all polygons in MAP if a multipolygon)\n",
    "    \"\"\"\n",
    "    EXITANGLE = 0.5* (A0 + A1) #this will be the angle from the x-axis to the exit beeline\n",
    "    if WEDGEPOLY.intersects(MAP.exterior):\n",
    "        edgeLine = WEDGEPOLY.intersection(MAP.exterior) #true state boundary line where wedge crossed it\n",
    "        closePoint = nearest_points(edgeLine,CP)[0]\n",
    "        dx = closePoint.x - CP.x       #this and below lines were indented in original code***\n",
    "        dy = closePoint.y - CP.y\n",
    "        EXITANGLE =  pi/2. * np.sign(dy)  #default in case dx=0\n",
    "        if (dx != 0. ):\n",
    "            EXITANGLE = math.atan(dy/dx) + random.uniform(-0.01,0.01) #add wiggle to avoid exact NESW orientation in gridded states\n",
    "            if dx < 0. :  #use complementary atan solution; boundary is west of tract centroid\n",
    "                EXITANGLE = pi + EXITANGLE\n",
    "    return EXITANGLE # this reorients 0th wedge to face boundary's closest point\n",
    "\n",
    "def getNewAngles(mWP, tWP, ADP, LEVEL_L, MINADJRATIO, MAXANGLE, MAXANGLERATIO, nUNFILLEDWEDGES): \n",
    "    \"\"\"\n",
    "    This method classifies Home Districts based on how their post-reoriented equi-angle max wedge pops stack up vs targets,\n",
    "     then changes wedge angles in some situations to pick up more population along the boundary\n",
    "    If there is one wedge that will fall short of a quarter district pop, then we adjust angles if it is sufficiently short    \n",
    "    (Using \"HD2\" code, the opposite wedge's pop will be constrained as well.)\n",
    "    If there are two opposite-facing constrained wedges, we do not adjust angles\n",
    "    If there are two adjacent constrained wedges, we classify as a corner (no angle change) if the adjacent wedge is sufficiently constrained,\n",
    "      otherwise we treat as a single constrained wedge\n",
    "    If there are three constrained wedges, the angles are unchanged; we use the 4th wedge to pick up all pop\n",
    "    If all four wedges are constrained, there is an error and we raise a flag.\n",
    "    mWP is the quadlist of maxWedgePops we would get by extending each wedge to the MAP boundary\n",
    "    tWP is the quadlist of targetWedgePops\n",
    "    LEVEL_L is the non-dimensional distance to the boundary at which we no longer adjust wedge angles to drive more near-boundary pop\n",
    "    MAXANGLERATIO is the max ratio of the wide angle (facing the boundary) to the normal angle (e.g. 90deg for four wedges) ...\n",
    "    but this is truncated near-boundary to MAXANGLE (e.g. 1.8 pi/2 instead of increasing all the way to 1.9 pi/2)\n",
    "      NOTE THAT this code does not consider nearly-shorted wedges -- those are a separate method called later if all mWP's > tWP's\n",
    "    \"\"\"   \n",
    "    isChange = False   #default; we are NOT changing angles\n",
    "    printDebuggg = False\n",
    "    NWEDGES = len(mWP)\n",
    "    avgWedgeAngle = 2.*math.pi / NWEDGES\n",
    "    minW = mWP.index(np.min(mWP))  #index of the wedge with the lowest max wedge pop\n",
    "    oppW = int( int(minW + NWEDGES/2) % NWEDGES )  #and its opposing wedge\n",
    "    Lstar = ( mWP[minW] / (0.25*ADP) )**0.5  #shortest wedge's nondim'l distance to boundary\n",
    "    \n",
    "    case = \"keep same wedge angles\" #default; no unfillable wedges or all but one are unfillable\n",
    "    if nUNFILLEDWEDGES >= NWEDGES:\n",
    "        raise Exception(\"ERROR! ALL WEDGES ARE CONSTRAINED for tract\",t,\".  IMPOSSIBLE!!\")\n",
    "    if nUNFILLEDWEDGES == 1:\n",
    "        case = \"constrain opp wedge\"\n",
    "        if Lstar >= levelL :\n",
    "            case = \"keep same wedge angles\"  #not close enough to boundary to distort HD shape\n",
    "    if nUNFILLEDWEDGES == 0 or nUNFILLEDWEDGES == NWEDGES - 1:  #far from boundary or with only one wedge w/large pop\n",
    "        case = \"keep same wedge angles\"   \n",
    "    if nUNFILLEDWEDGES == 2:  #must determine if opposite or adjacent           \n",
    "        if mWP[oppW] < tWP[oppW]:  #shorted wedges oppose each other, so ...\n",
    "            case = \"keep same wedge angles\" #...the HD shape will naturally widen to pick up adjacent pop\n",
    "        else:  #we have 2 adjacent (non-opposing) shorted wedges... but how shorted?  ID the adjacent wedge\n",
    "            for nW in range(NWEDGES):\n",
    "                if mWP[nW] < tWP[nW] and nW != minW :\n",
    "                    adjW = nW  #this is the adjacent wedge\n",
    "                    adjRatio = mWP[adjW] / tWP[adjW]\n",
    "            if adjRatio < minAdjRatio:  #we're close to a corner (this adjacentWedge is significantly constrained)\n",
    "                case = \"keep same wedge angles\"\n",
    "                if printDebuggg :\n",
    "                    print(\"Not adjusting wedge angles for tract\",t,\"as 2nd-sparsest wedge\",adjW,\"has pop\",mWP[adjW] )\n",
    "            else:\n",
    "                case = \"constrain opp wedge\"  #we will set the angles and target pops as if the adj wedge were not constrained\n",
    "    \n",
    "    if case == \"keep same wedge angles\":\n",
    "        isChange = False\n",
    "        WEDGEANGLE = [avgWedgeAngle for w in range(NWEDGES) ]\n",
    "\n",
    "    if case == \"constrain opp wedge\":  #Here, we modify wedge angles.  MWP's will be recalc'd outside the method\n",
    "        isChange = True  \n",
    "        wideAngle = min(MAXANGLE, avgWedgeAngle*max(  1,( 1.+(MAXANGLERATIO-1.)*(LEVEL_L - Lstar)/(LEVEL_L - 0.) )  ) )\n",
    "        WEDGEANGLE = [(2.*pi - 2. * wideAngle)/ (NWEDGES - 2.) for w in range(NWEDGES) ]  \n",
    "        WEDGEANGLE[minW] = wideAngle\n",
    "        WEDGEANGLE[oppW] = wideAngle\n",
    "    \n",
    "    return isChange, WEDGEANGLE\n",
    "\n",
    "def rebalanceTWPs(MWP, TWP, BARREDLIST=list()):\n",
    "    \"\"\"\n",
    "    This method iteratively increases targetWedgePops to accommodate wedges that have maxWedgePop < targetWedgePop.\n",
    "    The wedgePop gap is distributed equally among wedges that have some capacity and are not BARRED (e.g. an opposite wedge in HD2 method)\n",
    "     (If this pushes some wedges over capacity, this will be fixed in a later run through loop inside this method)\n",
    "    We also flag which wedges \"will fill\" = have sufficient capacity after the rebalancing of the targets to not use the entire maxWedgePoly\n",
    "    \"\"\"\n",
    "    DEBUGrTWP = False\n",
    "    NWEDGES = len(MWP)\n",
    "    unorderedCapacity = [MWP[w] - TWP[w] for w in range(NWEDGES) ]\n",
    "    idx = np.argsort(unorderedCapacity)\n",
    "    #for nn in range(NWEDGES):\n",
    "    #    print(MWP[idx[nn]])\n",
    "    if np.min(TWP) < 0.99 * np.average(TWP) and DEBUGrTWP:  #debug\n",
    "        for nn in range(NWEDGES):\n",
    "            print(\"barred list, orig MWP, TWP\",BARREDLIST, r3(MWP[nn]),r3(TWP[nn]) )\n",
    "    \n",
    "    for nn in range(NWEDGES):  #going from least to most maxWedgePop here ...\n",
    "        nW = idx[nn]\n",
    "        if MWP[nW] < TWP[nW]: #need to redistribute extra target to higher-capacity wedges ...\n",
    "            wedgePopGap = TWP[nW] - MWP[nW]\n",
    "            TWP[nW] = MWP[nW]  #max out this wedge\n",
    "            nReceivers = 0.\n",
    "            for WW in range(NWEDGES):\n",
    "                if MWP[WW] > TWP[WW] and WW not in BARREDLIST:  #this wedge could take at least a little more ....\n",
    "                    nReceivers += 1.\n",
    "            for WW in range(NWEDGES):\n",
    "                if MWP[WW] > TWP[WW] and WW not in BARREDLIST:  #this wedge could take at least a little more ....                    \n",
    "                    TWP[WW] += wedgePopGap / nReceivers  #... so give it equal share of the gap, even if this goes over; we'll correct in later loop\n",
    "                    \n",
    "    WILLFILL = [1]*NWEDGES\n",
    "    for nW in range(NWEDGES):\n",
    "        if MWP[nW] < 1.001* TWP[nW]:  #required pop nearly or truly requires the entire wedge\n",
    "            WILLFILL[nW] = 0 \n",
    "    if np.min(TWP) < 0.99 * np.average(TWP) and DEBUGrTWP:  #debug\n",
    "        print(\"adjusted TWP's are\",TWP)\n",
    "    return TWP, WILLFILL\n",
    "\n",
    "def solveWedge(nontractTWP,t, hC, STARTANGLE, ENDANGLE, MAXD, TOLERPOPS, tractCP, tractPop,\n",
    "               countyTractList, countyGeom, countyPop, neighborCountyLIST,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    #### NO LONGER USED; SEE FASTER SOLVEWEDGEB BASED ON UNIT-UNIT DISTANCES  *********\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop (which excludes the home tractPop)\n",
    "    The wedge has a fixed starting and ending angle.  Its maximum diameter is angle-related to max diameter of the state map\n",
    "    It uses bisection, NOT scipy minimize to minimize the square error in the wedge pop vs. target\n",
    "    The method passes back the final wedge pop and list of tracts in the wedge\n",
    "    \"\"\"\n",
    "    chgLoopNo, maxLoopNo = 10., 22.  #when we will start relaxing the pop tolerance, and when we give up\n",
    "    includedAngl = ENDANGLE - STARTANGLE\n",
    "    guessedR = MAXD / math.cos(0.5*includedAngl)  #max possible wedge radius, accounting for possible wide angle\n",
    "    popTol = TOLERPOPS[0]  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    #                      We loosen toward half the MAX tractPop if not converging\n",
    "    \n",
    "    offsetPop = 88888888.  #to force a reduction the first time through the loop\n",
    "    dr = guessedR\n",
    "    loopNo = 0\n",
    "    while abs(offsetPop) > popTol and loopNo < maxLoopNo:\n",
    "        loopNo +=1\n",
    "        popTol = max(TOLERPOPS[0], TOLERPOPS[0] + (TOLERPOPS[1] - TOLERPOPS[0]) * (loopNo - chgLoopNo) / (maxLoopNo - chgLoopNo) )\n",
    "        dr = 0.5*dr\n",
    "        guessedR -= dr*np.sign(offsetPop)\n",
    "        \n",
    "        guessedPoly = buildWedge(tractCP[t],STARTANGLE, ENDANGLE, guessedR,XSCALE) \n",
    "        iCP, iClist =  getCountyWP(t,guessedPoly, tractCP, tractPop, countyTractList[hC])\n",
    "        nonCP, nonClist = getNonCWP(guessedPoly, hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyLIST)\n",
    "        offsetPop = iCP + nonCP - nontractTWP\n",
    "        #print(t,loopNo,r5(guessedR),int(iCP),int(nonCP),r3(offsetPop+nontractTWP),r3(nontractTWP),\"t,loop,R,iCP,nonCP,pop,target\")\n",
    "        if loopNo >= maxLoopNo-1:\n",
    "            print(\"WARNING. Looped\",loopNo,\"times for t,angles,R\",t,r3(STARTANGLE),r3(ENDANGLE),r5(guessedR),\n",
    "                  \"wedgePop offset, target are\",int(offsetPop), int(nontractTWP) )    \n",
    "    finalPop = iCP + nonCP\n",
    "    finalList = iClist + nonClist\n",
    "    return finalPop, finalList, guessedR, loopNo\n",
    "\n",
    "#above = bisection.  Below solveWedgeB uses static unit-unit distances\n",
    "# Also tried scipy minimize, which doesn't seem any faster\n",
    "\n",
    "def solveWedgeB(nontractTWP,T, HC, POLLY, TOLERPOP, TRACTCP, TRACTPOP, COUNTYNO,\n",
    "               COUNTYTRACTLIST, COUNTYGEOM, NEIGHBORCOUNTYLIST, UUDIST):\n",
    "    \"\"\"\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop\n",
    "    We first determine which counties intersect the maxWedgePop to reduce the candidate list\n",
    "    We then go through the tract list from closest to farthest, adding any (from candidate counties) that intersect,\n",
    "     until the target pop is reached. Note that the passed UUDIST is the slice for unit t, not the full 2x2 array\n",
    "    \"\"\"\n",
    "    popTol = TOLERPOP  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    \n",
    "    #preliminary - restrict the found units to those in contiguous counties to the home county\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "        latestClist = newClist.copy()\n",
    "    \n",
    "    idx = np.argsort(UUDIST)  #sort order from closest to farthest to the home unit\n",
    "    \n",
    "    i, capturedPop, capturedList = 0, 0, list()\n",
    "    notFull = True\n",
    "    while notFull :  #capturedPop < nontractTWP - popTol : \n",
    "        i +=1    #this skips over the home tract\n",
    "        TT = idx[i]\n",
    "        if COUNTYNO[TT] in intersectedClist and TT != T:  #just to be sure\n",
    "            if POLLY.contains(TRACTCP[TT]):\n",
    "                capturedPop += TRACTPOP[TT]\n",
    "                capturedList.append(TT)\n",
    "                latestDist = UUDIST[TT]\n",
    "            if capturedPop > nontractTWP - popTol:\n",
    "                notFull = False\n",
    "                \n",
    "    return capturedPop, capturedList, latestDist    \n",
    "\n",
    "def solveWedgeC(nontractTWP,T, HC, POLLY, STARTANGL, ENDANGL, TOLERPOP, TRACTCP, TRACTPOP, COUNTYNO,\n",
    "               COUNTYTRACTLIST, COUNTYGEOM, NEIGHBORCOUNTYLIST, UUDIST, UUANGLE):\n",
    "    \"\"\"\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop\n",
    "    We first determine which counties intersect the maxWedgePop to reduce the candidate list\n",
    "    We then go through the tract list from closest to farthest, adding any (from candidate counties) that\n",
    "    fall within the angle range (in lieu of wedgeB's check for intersection),\n",
    "     until the target pop is reached. Note that the passed UUDIST is the slice for unit t, not the full 2D array\n",
    "    \"\"\"\n",
    "    pi = 3.141592653\n",
    "    popTol = TOLERPOP  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    STARTANGL, ENDANGL = STARTANGL % (2.*pi), ENDANGL % (2.*pi)\n",
    "    #preliminary - restrict the found units to those in contiguous counties to the home county\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "        latestClist = newClist.copy()\n",
    "    \n",
    "    idx = np.argsort(UUDIST)  #sort order from closest to farthest to the home unit\n",
    "    \n",
    "    i, capturedPop, capturedList, latestDist = 0, 0, list(), 0.00001  #dummy value\n",
    "    notFull = True\n",
    "    while notFull and i < len(UUDIST) - 2 :  #capturedPop < nontractTWP - popTol : \n",
    "        i +=1    #this skips over the home tract\n",
    "        TT = idx[i]\n",
    "        if COUNTYNO[TT] in intersectedClist and TT != T:  #just to be sure\n",
    "            if isIncludedA(STARTANGL, ENDANGL, UUANGLE[TT]) : #POLLY.contains(TRACTCP[TT]):\n",
    "                capturedPop += TRACTPOP[TT]\n",
    "                capturedList.append(TT)\n",
    "                latestDist = UUDIST[TT]\n",
    "            if capturedPop > nontractTWP - popTol:\n",
    "                notFull = False\n",
    "                \n",
    "    return capturedPop, capturedList, latestDist \n",
    "\n",
    "\n",
    "def getPartialTract(t, HDTRACTLIST, offsetPop, UUDIST, tractPop, neighborLIST):\n",
    "    \"\"\"\n",
    "    If offsetPop is >0, this method identifies the tract with centroid farthest from Home t that can jettison at least offsetPop ...\n",
    "    ... by slicing out part of this tract.\n",
    "    If offsetPop <0, we ID a tract CLOSEST to Home t among neighbors of in-HD tracts to pick up a partial\n",
    "    We return the tractID and its new partial use\n",
    "    We have updated this method to pass the uuDist slice for tract t instead of computing tract distances inside here\n",
    "    \"\"\"\n",
    "    debugGPT = False\n",
    "    NTRACTS = len(tractCP)\n",
    "    bigDist = 9999999.\n",
    "    qualifyingTractList = list()\n",
    "    isWholeTract = False\n",
    "    if offsetPop > 0:\n",
    "        homeDist = [0.]*NTRACTS  #default = 0 to not get picked\n",
    "        for TT in HDTRACTLIST:\n",
    "            if tractPop[TT] > offsetPop:\n",
    "                qualifyingTractList.append(TT)\n",
    "        for TT in qualifyingTractList:\n",
    "            homeDist[TT] = UUDIST[TT]\n",
    "        if len(qualifyingTractList) == 0:  #very rare case where all in-HD tracts are too small.  Jettison nearly the whole farthest one\n",
    "            isWholeTract = True\n",
    "            for TT in HDTRACTLIST:\n",
    "                if tractPop[TT] > 0.9*np.average(tractPop): #set arbitrary min qualifying pop\n",
    "                    homeDist[TT] = UUDIST[TT]\n",
    "        targetT = homeDist.index(np.max(homeDist))\n",
    "        partialUseFrac = max(0.0001,(tractPop[targetT] - offsetPop)/tractPop[targetT] )\n",
    "        if debugGPT:\n",
    "            print(\"positive offsetPop =\",offsetPop,\", ID'd tract\",targetT,\"with pop\",tractPop[targetT] )\n",
    "    else: #pick up a partial\n",
    "        homeDist = [bigDist]*NTRACTS\n",
    "        for TT in HDTRACTLIST:\n",
    "            for TTT in neighborList[TT]:\n",
    "                if TTT not in qualifyingTractList and TTT not in HDTRACTLIST and tractPop[TTT] > abs(offsetPop):\n",
    "                    qualifyingTractList.append(TTT)\n",
    "        for TTT in qualifyingTractList:\n",
    "            homeDist[TTT] = UUDIST[TTT]\n",
    "        if len(qualifyingTractList) == 0 :  #rare case where most nearby tracts are small.  Add nearly the whole biggest one\n",
    "            isWholeTract = True\n",
    "            maxPop = 0.\n",
    "            targetT = -999\n",
    "            for TT in HDTRACTLIST:\n",
    "                for TTT in neighborList[TT]:\n",
    "                    if TTT not in qualifyingTractList and TTT not in HDTRACTLIST : # we'll take just one, even if doesn't fill gap\n",
    "                        qualifyingTractList.append(TTT)\n",
    "            for TTT in qualifyingTractList:\n",
    "                if tractPop[TTT] > maxPop:\n",
    "                    targetT = TTT\n",
    "                    maxPop = tractPop[targetT]\n",
    "        else:\n",
    "            targetT = homeDist.index(np.min(homeDist))\n",
    "        partialUseFrac = min(0.9999, -1.* offsetPop/tractPop[targetT] )\n",
    "        if debugGPT:\n",
    "            print(t,\"'s negative offsetPop =\",offsetPop,\", ID'd tract\",targetT,\"with pop\",tractPop[targetT] )\n",
    "    \n",
    "    return targetT, partialUseFrac\n",
    "\n",
    "def getAdjoiners(UNITLIST, UNITNBRS): #returns all units that neighbor a UNITLIST but are not in the UNITLIST \n",
    "    allNbrs = list()\n",
    "    for U in UNITLIST:\n",
    "        allNbrs = allNbrs + UNITNBRS[U]\n",
    "    adjoiners = list( set(allNbrs).difference(set(UNITLIST)) )\n",
    "    return adjoiners\n",
    "\n",
    "def get2nbrs(ULIST, UNITNBRS):\n",
    "    \"\"\"\n",
    "    Get the combined list of first- and second-level neighbors of a LIST, using neighborList connectivity.  Excludes the source list\n",
    "    \"\"\"\n",
    "    firstList =  getAdjoiners(ULIST, UNITNBRS)\n",
    "    secondList = getAdjoiners(firstList, UNITNBRS)\n",
    "    twoLevelList = list( set(firstList + secondList).difference(set(ULIST) ) )\n",
    "    return twoLevelList\n",
    "\n",
    "def getContigFromStarter(starter, VLIST, NEIGHBORLIST):  #all contiguous units in VLIST, starting from starter unit\n",
    "    foundList, newList, prevList = [ starter ], [ starter ], [ starter ]\n",
    "    while len(newList) > 0:\n",
    "        newList = list()\n",
    "        for V in prevList:\n",
    "            for VV in NEIGHBORLIST[V]:\n",
    "                if VV in VLIST and VV not in foundList:\n",
    "                    newList.append(VV)\n",
    "                    foundList.append(VV)\n",
    "        prevList = newList.copy()        \n",
    "    return foundList   \n",
    "\n",
    "def isContiguous(VLIST,NEIGHBORLIST,returnBiggestPiece=False):\n",
    "    \"\"\"\n",
    "    This method determines if all items in a list form a continuous chain of neighbors based on the passed neighborlist\n",
    "    Empty lists are considered contiguous.  If discontiguous, a less-than-majority piece list is returned,\n",
    "     unless giveBig=True, in which case we return the biggest piece\n",
    "    \"\"\"    \n",
    "    isUnbroken, newList, foundList = True, list(), list()\n",
    "    if len(VLIST) > 0:\n",
    "        foundList, newList, prevList = [ VLIST[0] ], [ VLIST[0] ], [ VLIST[0] ]\n",
    "    while len(newList) > 0:  #this round's list of neighbors\n",
    "        newList = list()\n",
    "        for V in prevList:\n",
    "            for VV in NEIGHBORLIST[V]:\n",
    "                if VV in VLIST and VV not in foundList:\n",
    "                    newList.append(VV)\n",
    "                    foundList.append(VV)\n",
    "        prevList = newList.copy()      \n",
    "    pickedPieceList = foundList.copy()  #default contiguous sublist to pass back to main\n",
    "    \n",
    "    if len(foundList) < len(VLIST):  #not contiguous\n",
    "        isUnbroken  = False\n",
    "        pieceLists, remainingList = [foundList], list( set(VLIST).difference(set(foundList) ) )\n",
    "        if returnBiggestPiece == True:  #we were asked for the biggest piece, not a random small one, so we must find them all\n",
    "            if len(foundList) < 0.5*len(VLIST):\n",
    "                while len(remainingList) > 0:\n",
    "                    newList = getContigFromStarter(remainingList[0], remainingList, NEIGHBORLIST)\n",
    "                    pieceLists.append(newList)\n",
    "                    remainingList = list(set(remainingList).difference(set(newList)))\n",
    "                pieceLengths = [len(pL) for pL in pieceLists]\n",
    "                pickedPieceList = pieceLists[ pieceLengths.index(np.max(pieceLengths)) ]\n",
    "            \n",
    "        else: #quickly return a contiguous sub-list that's at most half the total units in the list\n",
    "            if len(foundList) > 0.5*len(VLIST): #pick a different piece; this one is the majority\n",
    "                pickedPieceList = getContigFromStarter(remainingList[0], remainingList, NEIGHBORLIST)\n",
    "                \n",
    "    return isUnbroken, pickedPieceList\n",
    "\n",
    "def enclaveCheck(UNITLIST,UNITNBRS,maxLoops=2):  #TRY 2 FOR OHIO V2.  USUALLY 4\n",
    "    \"\"\"\n",
    "    This method determines if a list of units has an unbroken boundary AND whether its complement has an unbroken boundary\n",
    "    If the complement boundary is broken, there is an enclave or the district is so disconnected its adjoining units aren't contiguous\n",
    "    The method returns contiguity of boundary and of its adjoiners.  Also returns the lists of boundary and complement-boundary units\n",
    "      If either of these is broken, only a contiguous sublist is returned that is guaranteed to be smaller than half (for finding enclaves)\n",
    "      maxLoops is the number of loops for expanding neighbors-of-neighbors for contiguity of the units outside the passed unit-list\n",
    "    \"\"\"\n",
    "    UNITSET = set(UNITLIST)\n",
    "    ADJLIST =  get2nbrs(UNITLIST, UNITNBRS)  #in case direct adjoiners are only queen-adjacent\n",
    "    #adjoinersOfAdjoiners = getAdjoiners(ADJLIST,  UNITNBRS)\n",
    "    #BDRYLIST = list( set(UNITLIST).intersection(set(adjoinersOfAdjoiners)) )  #this might fail for queen-adjacent boundary units\n",
    "    BDRYLIST = list (set(get2nbrs(ADJLIST,UNITNBRS)).intersection(UNITSET) )  #in case inHD boundary is only queen-adjacent\n",
    "    noEnclave, enclaveList =   isContiguous(ADJLIST, UNITNBRS)  \n",
    "    unbroken, smallPieceList = isContiguous(BDRYLIST, UNITNBRS)\n",
    "    if not unbroken: #could be that district's boundary intersects the state boundary or there is a nonHD enclave inside the HD\n",
    "        unbroken, smallPieceList = isContiguous(UNITLIST, UNITNBRS)  #slower check for full district, not just its boundary \n",
    "    nLoops = 1 #could be that fragmented adjoining districts are underestimating true contiguity.  Widen the contig search\n",
    "    while nLoops <= maxLoops and not noEnclave:\n",
    "        nLoops +=1\n",
    "        newSet = set(ADJLIST)\n",
    "        for UU in ADJLIST:\n",
    "            newSet = newSet.union( set(UNITNBRS[UU]).difference(UNITSET) )\n",
    "        ADJLIST = list(newSet)\n",
    "        noEnclave, enclaveList =   isContiguous(ADJLIST, UNITNBRS)\n",
    "    #isJiggy = noEnclave and unbroken\n",
    "    return unbroken, noEnclave, smallPieceList, enclaveList\n",
    "\n",
    "def getBdryNonEdgers(UNITLIST, UNITNBRS): #all in-district boundary units that neighbor a non-district unit\n",
    "    ALLnonHDnbrs = set()\n",
    "    for UUU in UNITLIST:\n",
    "        ALLnonHDnbrs = ALLnonHDnbrs.union(set(UNITNBRS[UUU])).difference(set(UNITLIST))\n",
    "    BdryNonEdgerSet = set()\n",
    "    for UUU in UNITLIST:\n",
    "        if len(set(UNITNBRS[UUU]).intersection(ALLnonHDnbrs)) > 0:\n",
    "            BdryNonEdgerSet.add(UUU)\n",
    "    return list(BdryNonEdgerSet)\n",
    "\n",
    "def getEnclaveLists(UNITLIST, UNITNBRS):\n",
    "    \"\"\"\n",
    "    finds ALL units enclaved by a UNITLIST, parsed into lists of contiguous pieces\n",
    "    We assume the largest contiguous complement to the UNITLIST is not an enclave, but rather the majority of the HD complement\n",
    "    if the UNITLIST's complement (all couldBeEnclaved) is contiguous, the returned list will be blank\n",
    "    \"\"\"\n",
    "    eSets, nU = list(), len(UNITNBRS)\n",
    "    offmapList = list()\n",
    "    for i,L in enumerate(UNITNBRS):\n",
    "        if len(L) == 0:\n",
    "            offmapList.append(i)  #offmap list are units with no neighbors (were surrounded)\n",
    "    complementSet = set([i for i in range(nU)] ).difference( set(UNITLIST + offmapList) )    \n",
    "    remaining2nbrs = get2nbrs(UNITLIST, UNITNBRS)\n",
    "    \n",
    "    isContig, shortList = isContiguous(remaining2nbrs,UNITNBRS) #quicker than contig check on entire complement\n",
    "    while not isContig:  #this will kick out before writing the final sublist = map majority\n",
    "        starter = shortList[0]\n",
    "        newEnclaveList = getContigFromStarter(starter, list(complementSet), UNITNBRS)\n",
    "        eSets.append(set(newEnclaveList))\n",
    "        remaining2nbrs = list(set(remaining2nbrs).difference(set(shortList)) )\n",
    "        isContig, shortList = isContiguous(remaining2nbrs,UNITNBRS)\n",
    "        \n",
    "        # couldBeEnclaved = list( set(couldBeEnclaved).difference(set(newEnclaveList)) )  #revised 18-Feb-24 -- was slower\n",
    "    fused_eSets = set()\n",
    "    for i, eSet in enumerate(eSets):\n",
    "        fused_eSets = fused_eSets.union(eSet)\n",
    "        for j in range(i+1, len(eSets) ) :\n",
    "            eSets[j] = eSets[j].difference(eSet)  #in case contiguity occurs, but not in 2-neighbor list; avoid double-count\n",
    "    remnant_eSet = complementSet.difference(fused_eSets) \n",
    "    eLengths = [len(eSet) for eSet in eSets]\n",
    "    if len(eSets) > 0:\n",
    "        if len(remnant_eSet) < np.max(eLengths):  #exchange the small remnant for the biggest found \"enclave\" (usually the major complement) \n",
    "            eSets[eLengths.index(np.max(eLengths))] = remnant_eSet.copy()\n",
    "    eLists = [list(eSet) for eSet in eSets]\n",
    "    return eLists\n",
    "\n",
    "def wontEnclave(proposedU, dList, NBRLIST, mapBDRYLIST):  #TRY MAXLOOPS = 3 FOR OH REDO, NOT USUAL 6\n",
    "    \"\"\"\n",
    "    This method checks if adding a proposedU to a dList (list of units in a district) will create an \"enclave\" of units in the dList's complement\n",
    "    via two problems:  A) the dList will now have a discontiguous set of units on the map boundary.  The full map boundary list is mapBDRYLIST\n",
    "      B) The non-dList neighbors of dList units aren't contiguous\n",
    "    The method doesn't require that the dList wontEnclave without the proposedU included; it just checks the proposedU + dList combination\n",
    "    It also doesn't check that the dList is itself contiguous with or without proposedU\n",
    "    In that sense, it is more limited than enclaveCheck\n",
    "    \"\"\"\n",
    "    wontEnclave = True\n",
    "    newList, newSet = dList + [proposedU], set(dList + [proposedU])\n",
    "    unitsOnBoundary = list( set(mapBDRYLIST).intersection(newSet) )\n",
    "    wontEnclave, __ = isContiguous(unitsOnBoundary,NBRLIST)  #first check - does district touch MAP boundary in multiple places? (quick FAIL)\n",
    "    if wontEnclave: #slower check below for internal enclaves\n",
    "        adjoiners = get2nbrs(newList, NBRLIST)  #2-level to protect for queen adjacency in boundary        \n",
    "        wontEnclave, __ = isContiguous(adjoiners,NBRLIST)\n",
    "        if not wontEnclave:\n",
    "            nLoops = 1 #could be that fragmented adjoining districts are underestimating true contiguity.  Widen the contig search\n",
    "            maxLoops, ADJLIST = 3, adjoiners #unlike enclaveCheck, here we just arbitrarily set a number of loops for search expansion\n",
    "            while nLoops <= maxLoops and not wontEnclave:\n",
    "                nLoops +=1\n",
    "                adjSet = set(ADJLIST)  #align nomenclature w enclaveCheck\n",
    "                for UU in ADJLIST:\n",
    "                    adjSet = adjSet.union( set(NBRLIST[UU]).difference(set(newList)) )\n",
    "                ADJLIST = list(adjSet)\n",
    "                wontEnclave, __ =   isContiguous(ADJLIST, NBRLIST)\n",
    "        \n",
    "    return wontEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d041d328-83e0-45db-a869-e0956c23ee26",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter the state postal code; e.g. OH  OH\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK, enter 1 below to use oh_pl2020_vtd.dbf as this state's population data file\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "  1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempting to read in state unit geometries.  Stand by ...\n",
      "I read in the Census popn data. OH has 11799448 peeps and is divided into 8941 shapes.\n"
     ]
    }
   ],
   "source": [
    "STATE = str(input(\"Enter the state postal code; e.g. OH \")).upper()\n",
    "popFilename = STATE.lower()+\"_pl2020_vtd.dbf\"\n",
    "print(\"OK, enter 1 below to use\",popFilename,\"as this state's population data file\")\n",
    "enter1 = input(\" \")\n",
    "if int(enter1) != 1:\n",
    "    popFilename = input(\"OK, then enter the pop data file.  Typically a xx_pl2020_vtd.dbf\")\n",
    "print(\"attempting to read in state unit geometries.  Stand by ...\")\n",
    "tractPopFile = gpd.read_file(\"state_map_files/\"+popFilename)\n",
    "trueTractGeom = tractPopFile['geometry']\n",
    "nTracts = len(trueTractGeom)\n",
    "tractPop = tractPopFile['P0010001']\n",
    "statePop = np.sum(tractPop)\n",
    "censusGEOID20 = tractPopFile['GEOID20']\n",
    "print(\"I read in the Census popn data.\",STATE,\"has\",statePop,\"peeps and is divided into\",nTracts,\"shapes.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3bfdea9d-b0ea-497a-a556-6b488a3e333e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter the number of districts in the state.  My guess is 16 15\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There appear to be 88 counties in OH .  I will assign them county Nos 0 - 87\n"
     ]
    }
   ],
   "source": [
    "tractGeom = trueTractGeom.copy()   #for some states, we will modify geom, so preserve original\n",
    "#tractNAME20 = tractPopFile['NAME20']\n",
    "tractPop = tractPopFile['P0010001']\n",
    "inputfileCountyNo = tractPopFile['COUNTYFP20']\n",
    "vtdGEOID20 =  tractPopFile['GEOID20'] \n",
    "nDistricts = int(round(statePop/760000,0))\n",
    "nCutDistricts = 0\n",
    "nDistricts = int(input(\"Enter the number of districts in the state.  My guess is \"+str(nDistricts)))\n",
    "tractArea = [tractGeom[t].area for t in range(nTracts)]\n",
    "trueTractCP =   [tractGeom[t].centroid for t in range(nTracts)]\n",
    "tractCP = trueTractCP.copy()  #for some states, we move secluded corners into the map, so save the true data\n",
    "tractCPx =  [tractCP[t].x for t in range(nTracts)]\n",
    "tractCPy =  [tractCP[t].y for t in range(nTracts)]\n",
    "inputCountyNumbers = list()\n",
    "for t in range(nTracts):\n",
    "    if inputfileCountyNo[t] not in inputCountyNumbers:\n",
    "        inputCountyNumbers.append(inputfileCountyNo[t])\n",
    "nCounties = len(inputCountyNumbers)\n",
    "print(\"There appear to be\",nCounties,\"counties in\",STATE,\".  I will assign them county Nos 0 -\",int(nCounties-1))\n",
    "sortedICNs = list(np.sort(inputCountyNumbers))\n",
    "countyNo = [sortedICNs.index(inputfileCountyNo[t]) for t in range(nTracts) ]\n",
    "\n",
    "isSkippedTract = [0] *nTracts  #this will house a temporary list of tracts for manipulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "adffc7a4-a78c-477f-8ea4-7f8e5109fa2a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will now build the county-by-county geometries, hoping there are no islands\n",
      "Building county geom for county 0\n",
      "Building county geom for county 20\n",
      "Building county geom for county 40\n",
      "Building county geom for county 60\n",
      "Building county geom for county 80\n",
      "Here is your original county-based map b4 any triage; e.g eliminating coastal unpopulated tracts w pop < 4.5\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There appear to be 7 unpopulated coastal tracts.  Lets plot them and their parent counties\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"We will now build the county-by-county geometries, hoping there are no islands\")\n",
    "skipList = list()  #a list of units we previously know to skip in the map\n",
    "isAlteredCounty = [False for c in range(nCounties)]\n",
    "countyTractList = [list() for c in range(nCounties)]\n",
    "countyPop =       [0. for c in range(nCounties)]\n",
    "countyGeom =      [dummyPoly for c in range(nCounties)]\n",
    "for t in range(nTracts):\n",
    "    if t not in skipList:\n",
    "        c = countyNo[t]\n",
    "        countyTractList[c].append(t)\n",
    "        countyPop[c] += tractPop[t]\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"Building county geom for county\",c)\n",
    "    for t in countyTractList[c]:\n",
    "        if countyGeom[c] == dummyPoly:\n",
    "            countyGeom[c] = tractGeom[t]\n",
    "        else:\n",
    "            countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "origMAP = countyGeom[0]\n",
    "for c in range(nCounties):\n",
    "    origMAP = origMAP.union(countyGeom[c])\n",
    "    if countyGeom[c] == dummyPoly:\n",
    "        print(\"WARNING! county\",c,\"is empty!\")\n",
    "    else:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "minTractPop = 4.5\n",
    "print(\"Here is your original county-based map b4 any triage; e.g eliminating coastal unpopulated tracts w pop <\",minTractPop)\n",
    "plt.show()\n",
    "if origMAP.geom_type == dummyPoly.geom_type:\n",
    "    mapExterior = origMAP.exterior\n",
    "else:\n",
    "    for i,geo in enumerate(origMAP.geoms):\n",
    "        if i == 0:\n",
    "            mapExterior = geo.exterior\n",
    "        else:\n",
    "            mapExterior = mapExterior.union(geo.exterior)\n",
    "\n",
    "for c in range(nCounties):\n",
    "    for t in countyTractList[c]:\n",
    "        if tractPop[t] < minTractPop:\n",
    "            if tractGeom[t].intersects(mapExterior):\n",
    "                isAlteredCounty[c] = True\n",
    "                skipList.append(t)\n",
    "print(\"There appear to be\",len(skipList),\"unpopulated coastal tracts.  Lets plot them and their parent counties\")\n",
    "for t in skipList:\n",
    "    plotPoly(tractGeom[t])\n",
    "    plotCenter(t,tractGeom[t],6)\n",
    "plotPoly(origMAP,0.2)\n",
    "for c in range(nCounties):\n",
    "    if isAlteredCounty[c]:\n",
    "        plotPoly(countyGeom[c])\n",
    "plt.show()\n",
    "trueMAP = origMAP  #use these terms interchangeably"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7a6c93c4-af08-47d5-90f7-dc0b4513aad5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last chance to alter the skipList, otherwise the above 7 units will be axed\n",
      "here is the proposed skipList [8197, 4634, 3730, 4458, 840, 2974, 1008]\n",
      "here is the final skipList [8197, 4634, 3730, 4458, 840, 2974, 1008]\n"
     ]
    }
   ],
   "source": [
    "print(\"Last chance to alter the skipList, otherwise the above\",len(skipList),\"units will be axed\")\n",
    "print(\"here is the proposed skipList\", skipList)\n",
    "#skipList = [1939, 1364] #...  #alter here if needed - 1874, 1270, 1497, 1771 create contiguity problems if axed\n",
    "print(\"here is the final skipList\", skipList)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2989f381-466b-4882-bf1d-cfa37a7ba8ef",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I will now preserve the original county unit lists and geoms, then rebuild as needed\n",
      "removing coastal units from countyNo 3\n",
      "removing coastal units from countyNo 17\n",
      "removing coastal units from countyNo 21\n",
      "removing coastal units from countyNo 42\n",
      "removing coastal units from countyNo 46\n",
      "removing coastal units from countyNo 47\n",
      "removing coastal units from countyNo 61\n",
      "Here is the revised state county map after eliminating coastal tracts\n"
     ]
    },
    {
     "data": {
      "image/png": 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UFqoTJCor/9///seyZcvYt28fISEh9OzZk2nTptGuXTsURUGWZa688krWrFnjcgz33nsvs2fP9vq3iMs6y9O/HaFHdARD4qJq3qEa8vPzGT1ad298/vnnneWKopCQ4CpOLFmyhFGjRrktrKj2aaLI/DynsPLqP+7kVNJATgFfZ2bTNNjM6qw8DhaV8HJKM1qEBKEJwbQDaXySnsX7J05zVUwEj1/UmC4RoV4da33z3sB3WLDq3zQIimFXUBPW/R5Ni+XfAvDSjZ0Z1aNZPY/Q4HyjMLeULd8e4o91JwmJtHDlrW1p2ysBuZbTnNu2bWPTpk0ATjsQB4cOHaJFixYV9lEVCeXyOB79e8cK28rz0IeLSQ1y795RW+bOnevX9gMJQ2Bxg2PFpfyYlceQhpEkBln0t3u7gBAky5glqdwbftnbvqPc7CJslK2bzlk3S2CSy+rKtXjDHrPyZ7bKCn//+999+hts27aNhx9+mB49emCz2XjiiSe49tpr2bVrFxaLxVnv7rvv5tlnn3Wuh4b65oEbZp9PLrTZvG7rgQceYPjw4QwcONBFYDmXrVu3kpqayttvv+1224ok8XJKUyYCj7w9n8uSmvD18VPO7VP2n3Cp32vjn7QODeKsVeW01cYDSY3oHhnK8wfSGLxlL4NiI3mqZSJtwqpXUQcay97ZQUiEhT79YuhxaBcAKcXvU0LZuRIXcYEkhTOoE0qLbaSuPMr2VcdQFImeIy+i05VNMVs893hbvXq1c7l///4ID7MQC0m3T6kJkwBNNozbfYUhsLiBQ3B4ICmeHlFh9Tya6jFJoPlBA7l8+XKX9ffff59GjRqxdetW+vXr5ywPDQ2toKXwBaEWXWApUlWv2vnkk0/Ytm0bmzdvrrHu3LlzadeuHX369PGoj1sTG/LPxrHOKZ2nWzchvcRKnk0ls9RKuEkhRJb58Uwup602ilSNSJPCwNhIutvPr8ENo/gqM5sZB9Po/+turoqNZPJFjekQHuL5QdcDB7frQtofa2FV4uvsLQx3Cisz+j5DXOgZejX/qT6HaHAekX4wh+VzdlKcb6XzlU3pNqQ5wWHeG8XWFk2WcGcWXRYC9QKY2g0UDIHFDRzyseahFF4fKJJEXXj+5+TkABATE+NS/tFHH7FgwQISEhIYMWIEU6ZM8YmWxaFhKfYicuSxY8d4+OGHWblyZY1GdUVFRSxcuJApU6bUqq9z7U8SgswkBJlpXU5TUp3WRJEkbohvwPC4KD5LP8tbRzMYsHkPA2Iieah5I3pF+1fN7C3/eqs/X7/5Gxdf3Yy7gpPYtHorK79ezg2HfiZkg5ncKa0JDjamgwxqZtf6k6z5ZA/xzSO58bHuRMTUv7ZRSCDUmp8HCqBJhobFVxi/pBs4bLi8MUtVVZUpU6aQnJxMSEgILVu25LnnnnNRRd5+++1IkuTyGTJkiEf9mCTJ7xK9pmk88sgjXHbZZS7GbP/4xz9YsGABP/30E5MnT+bDDz/kn//8p0/6lGUZRVUp8kJg2bp1K5mZmXTr1g2TyYTJZGLNmjW88cYbmEwm1HLam8WLF1NYWMhtt93mi+HXmiBZ5p+Jsay7tB1vtUvieEkp123fz3Xb9rHydE5ACtG5pzNRbSWMuOMi5FlTOXjNCOJemco/9qwiuLQIkZHLJX2/vCCMig38h6pqrF+8j58W7KZdn0RGjr84IIQVsAssbl97gXeNnq8YGhY3kO0aC28eDi+++CKzZs1i/vz5dOjQgS1btjB27FiioqIYN26cs96QIUOYN2+ecz0oyLN5fkXC7xqWBx54gJ07d7J+/XqX8vKRITt16kTjxo0ZMGAABw4coGXLll73axIqxW681VSFO+6NDubOncu1115LXFxcrfvzJWZZ4m8JMdwQ34DvT+fy+pEMbt1xiNahQdzTLI6/xccQEgCB4HIy0/m/h+5CMZkYvHUPAGF9+6IVFVG0dSsRgwaR8PQU5Bo0XAZ/bfKyivn+/3aSeTiPvqNa0+Wq2mvjVE3jzS93U5Rn1d2NHbcQTZTJEqLcsgbg8FE+Z5t9PaREoLlhw2LgWwyBxQ0cGhZvTs9ffvmFkSNHMnz4cABatGjBxx9/zK+//upSLygoyCsbEIskYfOjkdeDDz7IN998w9q1a2natGm1dXv27AnA/v37fSOw2IPC1Zaa3Bsd7N+/n7Vr1/Ldd9/Vui9/IUsSQ+KiGNwwks05Bbxz/BSP7TnOUxu2Y573Nuk/r8VWXESrVq2Y99579OjRA4AvvviC2bNns3XrVrKysti+fTtdu3b1+fgi4+JJ6tiF7sOvI77YytE77qRg/XqEohD70EM0uv8+jzUrjjdZQyNzYSOE4MCBA6xduZGinfGER4Vy/aPdSLjIO6/AQ5kFmL9PxwwUhukvJUICJPs9XcLpmuwoB6lsuVw9JD33ckGsmS7tY2vu3DhlfYohsLiBw+jWG4G6T58+zJkzh71799KmTRt+++031q9fz6uvvupSb/Xq1TRq1IgGDRpw1VVX8fzzzxMb68aFYSdChhKTmWe27KRnQkOGNPWNAawQgoceeoglS5awevVqkpOTa9wnNTUVgMaNG3vdf3ZRMQWWIIq1Qq/bqon33nuPpk2bMmjQIJfyzek5fLU7gxKbilXVUDXdjVkVAk2ATdVQAU1zlAk0Rx1NoFmtRBdm0jzSitBUhKqipJ9AKSyguGlz3etACITQ9Ie0ptnXhf0tT7O/FZZ9YoTGyPx8Fr7xOkkXXcTIW/5BaGgIBRnpfLb4cw4dOkRcXBxbtmzhoosu4rLLLvNJyPGqkCSJm6ZMA6B4924Actu1Z/I1N/P+P0bWKHR89OdHzPptFpfEX8IDXR9AkRVGfjmSkS1H8nzfqj26DM5f0tLS2LNnD3/++ScZGRlEWJsRpMrc/OSlPjGsLbXqU70X3ZnC0B5NvG7PoP4wBBY3cOgrVC+mhCZNmkRubi5t27ZFURRUVWXatGmMHj3aWWfIkCHccMMNJCcnc+DAAZ544gmGDh3Khg0bKg1eVBmtwkIgR2NWno1Zeemk+0hgeeCBB1i4cCFfffUVERERpKfrMUaioqIICQnhwIEDLFy4kGHDhhEbG8vvv//O+PHj6devnzN/hzfM/0OfXoiz+PaULe/e6OCFF17ghRdecCmbsekQs5f+CfYpKeF47trfuqRyyzi+ym2TJAlKbZhUQeOGR3VXR1khvLAAAFtxCciyXl+WQZaQzBKSJOv7yvq3LOnbZElGkiVkWWbDxwtokJDA35+YgipJZJTaaGFSuDwimPSTJzl8+DDh4eFYLBbOnj0L6BoXq9VKly5dXNzSfUlw27a02/0nQgjuzzhLUkj105tb0rcw49cZAPxw9Ad+OPqDc1ur6FZV7WZwnnL27FmWLl3KoUOHCA4OpkWLFgwZMoQ/f07j4PoigkJ9c62X2nStrMlUD1OmknRBmbB46v7tawyBxQ18YXS7aNEiPvroIxYuXEiHDh1ITU3lkUceITExkTFjxgC4xE7p1KkTnTt3pmXLlqxevZoBAwa41c8/u3dhcH4BV234A5sPr5RZs2YBesyC8sybN4/bb78di8XCqlWrmDlzJgUFBTRr1owbb7yRp556yif9l9g0QOLpXt1qrOtrnlqzlw+X7SMmIYwld/SkUYgFiyKjVBJBtzr+s3AtC38/y0uPTvDp+BY9M4Ubhgzmt08WsGbNGpo0acL999/P0L/d7VJPVVX27t3L66+/TnBwMN999x1r1qxhyJAhFabKfIkk6fY31WHTbIxdMRaAUW1G0adJH9afWM+PR38kqziLXom9/DY+g7pFCMHvv//Od999R3BwMDfffDNt2rRxvpTt3ZiJhITNZvNJPh+rQ2BRjPkZbwiEKVlDYHEDxQdGtxMnTmTSpElOoaRTp04cOXKE6dOnOwWWc7noooto2LAh+/fvd1tgAYgLD6OZWkKu99H2ndQkWTdr1qxClFtf4uhdqeOsx69tOcyHK/fTqGkEq++5jLBaBKlyoMgSAgkhhE8v/oMHDzJr1iwmTJjAE088webNmxk3bhwWi8Xl3FIUhZAQPY7LsGHDaN68OStXrmTx4sXIsuzTVPRCCI4cOcL+/fuxWCxcfvnl1R6zSTbx7+7/5r9b/8uivYtYtHcRAO1i2pFVnEVOSY7PxmZQf+Tn5/PNN9+we/duOnXqxPDhwyuEGFDsxuM2m+ojgUW/e5jP0bBMnz6dL774gt27dxMSEkKfPn148cUXSUlJAeDw4cNVTn0vWrSIm266yeuxGXiGIbC4geM+642+orCwEPkcY1hFUarN4XP8+HHOnDlTKxsQGe80QoGGnvRAqlMbtv+s38/73+whvGEwC/7R3SthBfTzSPODwKJpGpdccolzGuviiy9m586dzJ49u0phGKBBgwbcdNNNfPTRRyxevJjbb7+dpKQkn4xn8eLF7Nq1y1lWWFjI4MGDqz3u2zvezqiUUew5u4fblunu5GeKz/BC3xfo2bin1+MyqF/++OMPvv1WT8swatSoKgVkR4h9m9UKId57k1ntoRDOFVjWrFnDAw884BK9e9CgQezatYuwsDCaNWtGWhW5xYYOHepm7/WvlbiQMAQWNyhza659GyNGjGDatGkkJSXRoUMHtm/fzquvvsodd9wB6G8ezzzzDDfeeCMJCQkcOHCAxx57jFatWjF4sOcZdi+0y8Tx29cmXYEn5BZbefynPSzfcAxRqhGbGMavD/TD5AOXYX+NvHHjxhVu/u3atePzzz+veUySxC233MKrr77KsmXL+Mc//kFERIRX4ykuLmbXrl0oisKTTz7Jr7/+yvLlyyksLGTIkCHVBhIMNYdycaOL2TFmB1bNilmuv2imBr5j+fLlbNy4kTZt2nDttddWm5vLZLdTmz/pl3MuGtcrSEhQIpv0N4FzLy7hsDOTkDVBMBB0jsBSU/RuX+QWC4QMxxcShsDiBmU2LLU/8d58802mTJnC/fffT2ZmJomJidx77708/fTTgK5t+f3335k/fz7Z2dkkJiYyaNAgnnvuOY9jsYB+nVxYGhadc7VUvkDTNF7/9QhzNxwmP0P3QmrcIooeyTE8ftlFPhFWoGwO2NeGa5dddhl79uxxKdu7dy/Nmzd3a39F0XNPffrpp8yaNYvhw4fTvn37WmuBQkNDCQ8PJz8/H4BevXphNpv5/vvvOX78OLfddhvR0dE1tmMIK+c/2dnZzJw5E4D4+Hj+/ve/13gNX3x5a86k5WCzSfZwKKLct7CHQhFkWFU2BIeQbDGRGBpM+dNVKneJSYAp1ESn5tHV9ltV9G4HtcktduG9OtYvhsDiBmVeQrVvIyIigpkzZzov3nMJCQlhxYoVte/gHOQLyzjdL9bp/9t2lHk/H+LMmSK0YpXgBkEMu6I5beMieLBbM78IR/5g/Pjx9OnThxdeeIFRo0bx66+/MmfOHObMmeOsk5WVxdGjRzl58iSAU8BJSEggISGBZs2a8a9//Yuvv/6azz77jMTERPr160ebNm08/h2KiorIz8+nZcuWzn27d+9OcnIyH3zwAQsWLGDIkCEEBwdz+vRpTp8+ze+//05CQgLx8fHExcXRunVrp72NwflDUVER+/bt4+DBg86wBkFBQfTq1Yv+/fu7JQRHRIdy/T39aqy3Yv8hZhzLYVxyLFe08C7NQ1XRu8tT29xiBr7DK4FlxowZTJ48mYcfftj5IJ4zZw4LFy5k27Zt5OXlcfbs2RrfpqZOncozzzzjUpaSksJuexyH+kaxX2TeuDXXNRIgLiDpXgD46Pc/U1TKsPc3kXEkF0uDINq1iWVYu3ju79rMr5bwTlsoH59HPXr0YMmSJUyePJlnn32W5ORkZs6c6eIyv3TpUsaOHetcdxh//+c//3HGZQkPD+eWW27h0KFD/Pjjj3zyySfExsYyYMAAUlJS3HKtz8jI4Msv9bD758axiYmJYfTo0Xz22WcsWLDAWV7eNT4tLY28vDxiYmK47777fGJ0aeBfNE1j3759bN68mYMHD6JpGvHx8QQHB3PppZdy2WWX1UpLXGO/9uvIF9PEVUXvdlDr3GIXzi04IKi1wLJ582beeeedCjE2HPPUQ4YMYfLkyW6316FDB1atWlU2MFPgKH/Ox3NOdkRqvEDQTW69f9DnlVq54n/ryc8qZvSQ1jzXr1WdaVIke5RMf2iLrrnmGq655poqt99+++3cfvvtbrWVnJzMnXfeyc6dO9m0aROLFi0iIiKCLl260KxZMxITE13sXDRNIyMjg99//51NmzbRoEEDxo4dS3x8fIW24+LiuO+++8jIyECSJCIiIirYtKxZs4affvqJ3Nxcj4ImGtQ9e/bsYcWKFWRlZdGkSROGDBlC27ZtiYyM9HvfjqvI29ucO9G7AyW32F+dWkkF+fn5jB49mnfffZfnn3eNPvnII48AlQfkqnYgJpNXIen9idP2oJ7H4QkScEqxcM3ydc5xXxoZyn/6dK/PYdUageu8dG2Z9/tJ8k8V8dhNHbm/u3s2Hr5C9pMNi7/o2LEjHTt2JD09nc2bN7Nt2zaXN9CoqChkWSYnJwdN0zCbzfTv358+ffpU+8IhSZLzWhdC8Mcff/DZZ5/RrVs3mjdvzk8//URsbKxbdi5/FfRzRlBYeJCssxvIzf2N4uKTKEowQmgkNv4bFsslFBaqJCYm+lVTuHbtWl544QU2bdpEdnY2Dz/8MI8++qjzYV9V3y+99BITJ0702Tgcl1FtNSyeRO+ufW6xC2xuvp6plcDywAMPMHz4cAYOHFhBYKkt+/btIzExkeDgYHr37s306dOrdLEsKSmhpKTEuZ6bm+uTMVSF4/07EDPjVsXgRtGcSD/LGXTh5WBwBAdzi/hPfQ+slug3bO9vwjvScxHAHV2qz4PkNwSs/GQBiqK4aFuEPSlbw8Qm9Bo4qPo26piEhARGjBjBNddcQ3Z2NseOHWP37t2YzWbCwsKIjo4mLi6OZs2aOQWV4uJiDhw4QE5ODm3atMFqtfLDDz+wf/9+QJ9+io6Oxmq1kpGRAcC2bdvYtm0boAtL7kZ3vlBR1SJyclM5lbmC4yc+dJZLkpmI8HaEhCSRk7ON4pKTZGWtQwgze3b3pLS0K+3bt6dly5bExsY6BcvqsNlsZGdnk5+fT2lpqTNoW0xMDNHR0c7o3GlpaaxatYqioiKuvfZaPvjgA6644goXzcS5rsDLli3jzjvv5MYbb/Tp7+O4H9f2rlBT9G4H3uQWi7VmMDZ7GQWvvFsW/lpyfGRAj1it5y6SndskxzKy3evDXl8qty4r9jL7t6zoy1Au1HZ5JFwskx3bKxX4HJkfsUuGguCg40iiyOPfwJd4LLB88sknbNu2jc2bN/tsED179uT9998nJSWFtLQ0nnnmGS6//HJ27txZqYvl9OnTK9i8+BNfRLqta+6+uCPl45yOXfUzm2q4tIUjbw1U+C6/7Igd47LN7ncsKLefcN2vyrZFZdvKfm0hBCXFpYB38+B5pVY2HTiDHKQQbKr7h6Eo0S/23d9+UWWd3ZJEz6sG6uH5AwxN0yguLiY+Pp5GjRqhaXrOI03T0DSNEydOkJ+fz7Fjx0hNTaW4uBiA77//HoCGDRsCust1fHw8hw8fJiwsjEGDBpGamuqSSTs1NZUru7WGjbOgx50Qc1HdH3AdU1ycRmbmMrJztlBcdJz8gt0IoTq3h4e3p1XLx4iK6obJFOayb1HRMdatH0Fik7OYTa3ZsWMHGzZsAHQvsAYNGhATE0NsbCwxMTGoqsqZM2fIysrizJkz5OTkVKn5k2WZmJgY8vLyKCkpITIykhdeeIHu3bvzwQcfVNConKsp/+qrr7jyyiu56CLf/g+dU0K1lFhqit7toKrcYu7Qu2Qjl536ElGqX89lQ7WPvpzbs6ssUU4YK+/9VI+3hdCOUGj5vf4GgIcCy7Fjx3j44YdZuXJlheiE3lA+CE/nzp3p2bMnzZs3Z9GiRdx5550V6k+ePJkJE8rCm+fm5tKsmXdW4tXhizgs9U1IoUKYbObIpDVIlQRgq9uQbJ7TMMmM0qZ2V+vZYivD39/EiSM5SALad/RUresbwkJCgEJumfYqDRon2nMMyYAuKP7w2SfsXvYlJcVFBIeG1dBa3ZKXl8f777/PmTNnaqwbFRVF586d6d27N6+//rqz/O8330zDKlTqDgP7YcOG8d133+m2K9+Mh33fw4a34d+7ISIwp4w9QQjBmTOriYnpgxCQk7OVM2dWcyZrLQUF++y1JOLjryGxyd+JjupOWFhr+3lSNSEhzVBtYQQFRTBs6DUMGzaM7OxsF6EkKyuL3bt3k52d7RRCYmNjad++vXM5IiKCoKAgFEWhtLSUrKwspydXWFgYycnJNGnSxG3tV0ZGBt9++y3z58/38periLdGt+5OzVaWW8xdTNFRHM9NovlU7x70jmSoLt+qDTQVVCtC00Cz6QlShebqoOB8MXS8BIpy28tpUYSe/sRFE1TuW/5oKCHtUrw6Dm/xSGDZunUrmZmZdOtWls9FVVXWrl3LW2+9RUlJiU/UuNHR0bRp08apPj6XoKAgv1idV4Uv4rDUN1GWcIRaSl5XizMfl+PNqLI5Z2eZdO56WV2H9C+do1p0bU5yqePcVr6dc/tCqlCu5ZZSG3FF0zSu/2QLJ4/mMKBPM4a1acTfUurnwSc0/W05PDqakLCKgaeCwnVtYnFBQUAJLEIIvv76a4qLi7ntttswm816IkZZdn4c/6uQkBCXoFp94/JYfyqCR3mH8Ldfg/bXwZAZEOkavXnYsGEMGTIERVFo0aKF3sahCF1gQcBbPeBf66FB3dod+ZoffypL4ihJCkKoWCyNiI29ghYtHiA25grM5loarEqlyJJ+X3QIJJXFFFFV1fn/q47Q0FCio6O90ozMnz+fiIgIbrjhhlq3URW+Mrr1JwLJJ84CkiRBuWerfsx19wwEIKRB7dVZPsIjgWXAgAEualuAsWPH0rZtWx5//HGfzTnn5+dz4MABbr31Vp+05y2Of9F5ZMJSAZOiIAmJjn/vXd9DqRXBa/dBab5bdef9fpwZX+9CE2DTBKLQxvX9W/DakA5+HmX1aKqKQEIxVe6qa7FrLdd+uZjg8AjnFJ0+vVYWNMsxp6yfj/p2h2ZZVW3IsoIpKKjsNlnJieuccnPZVNZm+V3z8/I4dOAAF198MfmH9nJRt0sJb1B9MkMHA5sWM/DU/5UV7PpS/3S/HYb9FxT9FiRJEsqm/4FqpZEkwaqpIClMPzOEL75YzO7TuYRMu4g+vXvz4ltznfleoHahFOoSIQRZWes4euw9l/LWrZ4gOron4eFtfWIkK4SGSak583Zd2ga99957jB492qcaeQfO/GL1OU/iBtL5/OAIMDwSWCIiIioE1QkLCyM2NtZZnp6eTnp6ulM7smPHDiIiIkhKSnJK+wMGDOD666/nwQcfBODRRx9lxIgRNG/enJMnT/Kf//wHRVG45ZZbvD5AXyBJ0nkfOfZ8z3IuBMhuHMDBnEJmrNhDcb6VNh0aEiokBrWP54FKPIJUVWXq1KksWLCA9PR0EhMTuf3223nqqadcHiB//vknjz/+OGvWrMFms9G+fXs+//xzj/PuCHtOE6WK2CINmzRDILFvlWfGfdO++ZGzhRWN4fq0bM4N3Tuy8cBRth09wYmzuZTYbDx33SBCLO7HNxHo73K7lx/lTyHodePfuWzUP2vYScCBH+Dwz2VlU85A5i5da7J6Opw5AL0fhKimsPYl2PVVWd3Y1nBmH2uWfc4DPSz06NgaW1ADnvjwFwb168mufYcJi4wGah9Kwd8IIcjM/I6Dh16jsPAQ4eHt6NBhJvGNhiFJvhcaJElDkgPHUHndunXs2bOHTz/91C/tO6aEUrOyaR7bgNjgOtY4uEMAZDi+kPB5sJPZs2e7GMT266dHLCxvyHTgwAFOnz7trHP8+HFuueUWzpw5Q1xcHH379mXjxo21cCHzHxLnl5fQueiB5M5vqrr0NSFYtDudd345xKGD2SAEIy5vzlvDKo9Y6eDFF19k1qxZzJ8/nw4dOrBlyxbGjh1LVFQU48aNA/RztW/fvtx5550888wzREZG8scff9TqjVHTVJCkKgWW9hd3o8Xchag2G5IsI9s9BWRZRpJluwOBXDbFZr8Z/uPUKVRVdfaxc8cOhl8zgv+8PZt+/a5Ae+stutgNYKc8/TT3vPMB0dHRZVNv5aYGqpsmlGWZd/51W+X2FPmnYPkkOLwOwuKgOBdyjkLDNtDvMeg/SfdiaNzZ/ukKPzwDH99sb7zcb/LQNohtCQVnWD7iG1AskHw5RDTm/c7P0ui6Z9k69XL6TXgfmnavdSgFf5GXv5vjxz8kJ2er0y6lY4c3aNRomF/djfUJiMARWObOnUv37t3p0qWLX9oPN+uPrydOF/PGia2kDgm8CLTigrjzBg5eCyzn3iSmTp3qjJxZFYcPH3ZZ/+STT7wdht/RgLePZrItt8DujqqX25XzToNchzOYQ7gp5xyma/URzv1Fhe2ibLncd1lfooryc7YJ10tEAGfUElQhWDRvGw1MJn27VLYdcAaac6zHto3l0u5Nqv1dZs2axaxZs5z/0w4dOvD0009XyGYqhGDYsGEsX76cJUuWcN1111Xb7rmc69Scnl/Cm5sPs/bAaU6czEcrtCGFKFx6cQLTBrSldYOqE+w5+OWXXxg5ciTDhw8HoEWLFnz88cf8+uuvzjpPPvkkw4YN46WXXnKWtWzZ0qOxO7BabchCxVTFlBBAaLjniQfPzeb96quv0bJlS64epGdHdsS+cFyrFksQFkvt3kZtNht/rFnF0Z2/AXbBJvcknD1o//80steMQpI60mfgozTpe33FhloPhFYD4NQeKDgFiRdD0Dl2PWGx0H2MS1FOh1uBZ4kJt8D/XQWX3AFXP1dxX1+SmwZb3ydXZHDA/CdqSASaKEWWLEiyBVkyI8lmVLWQ4uKTFBcfA6BRo+G0af00DRr09rOg4kCrEzeS/Px8F/vCQ4cOkZqaSkxMjFPrmJuby2effcZ///tfv41j0EXNeTJ3F9NybKQH1Xy91xeGjsV3BE442fOAI8WlHEkv9Wsfpb9tpfDTD7Du24V25jTRz75KcN8rndvVrDPkvfs6pVs2oOXnE9S5G5EPPYapqeuUx7kXiVkR9MhWiTtRisXxFl2unsMGQrKLBtHFKmlphVCDwNK0aVNmzJhB69atEUIwf/58Ro4cyfbt2+nQocxmZObMmV7dtEtVlaIzxTy4/A8SooJ57/t9aEUqligLrVtEc03beO7tloTF5P4Nu0+fPsyZM4e9e/fSpk0bfvvtN9avX8+rr74K6Aa73377LY899hiDBw9m+/btJCcnM3nyZI8FLoBSm4YiNL+6LJeWlrJgwQImTJjgl4dkz5F/49TRw05pWQBYbJC3GxEaC8FRzroHjuRw6OfvKxdYQNcQNWoLtHWrb5d8L/9ZDd8/CZtmw5b3IK4tNH/Um0NzpbQAdnymT1Md+AkQZDUNIeuiMBJiRqIooWhaCZqwITQrmrASFNSIyIiORER0JDb2CszmqBq78SWSJJBqZZruGVu2bOHKK8vuSQ6PzTFjxvD+++8D+kuoEMKv0/pf7zvEtByb39r3CRfalFA9zzIYAoubmICnWyVye5OGyOgPeFmSfP5QWFacxs8DLqf7Y49www03MK9TMtdd2RXQtRR9+vTBbDbz32XfERkZyauvvsryp8axa9cuwsJ851ny3f9tI/xszcLZiBEjXNanTZvGrFmz2Lhxo1NgSU1N5b///S9btmypoA1wl8PH8rD8mcU3ZOkFisTLt3fnpra19/iZNGkSubm5tG3b1hkYa9q0ac4cPJmZmeTn5zNjxgyef/55XnzxRZYvX84NN9zATz/9xBVXXOFRf1abiuxnS6gvv/yS7Oxst8Pwe8olI9z39nh/7BBKiwp81rdLvhfFBENfhF73way+cGo3bL5dr5i6kDMHLJyZO4/Wq39CstRsiOrk1F7YMhdSP4aSXEjuB8Nehg43IG+egGxdR4cOr/rsmHyLhiT5/5bev3//Gl2C77nnHu655x6/jiO7WA8e+nqjEPo1S/RrX7VF4Duj2xYtWnDkyJEK5ffffz8TJ06sMlLvokWLuOmmm3wyhvrGEFjcRJElFEnC4ueAXkOHDq0wneJg3759bNy4kZ07dzqFgVmzZpGQkMDHH3/MXXfd5bNxCAlkD5+tqqry2WefUVBQQO/eujdSYWEh//jHP3j77be9Sr2QIhRWAtueHcTx3BJiQsw0CvPOyG7RokV89NFHLFy4kA4dOpCamsojjzxCYmIiY8aMcQbIGzlyJOPHjwega9eu/PLLL8yePdtjgaXEpqL4WWCZO3cuQ4cOJTGx/m/gFrNMaXFJzRXdoMp8Lw1awBPH4cgGWPoRzH8blk8m80v9+Iu/f5+QYXfq9jNVkZeuGwLv/AIO/gShDfVgdd1vd3GjVkxhaKr+4lA3UzyeIUkioIxu/Y3D061HkwQaR3o+lVonOLXW3rN582anrRrAzp07ufrqq7npppto1qxZhQjDc+bM4eWXX67yeeIxAXDOGwKLmwSC6ZQjHUF5g09ZlgkKCmL9+vW+FVhkCdnNN4MdO3bQu3dviouLCQ8PZ8mSJbRv3x6A8ePH06dPH0aOHOnlgCAIiXCLmbYNfZPBd+LEiUyaNMmZubhTp04cOXKE6dOnM2bMGBo2bIjJZHIei4N27dpVmdW1OqyqhsmPAsuRI0dYtWoVX3xRdSTdusRsVrCWWr1qw+18L817Q6cS4G24axVNY99CPf4nIVsmwr43IWUoNLtUN+Y1BetCytENcOBHOL5Zt/1I6g3XzYaON4CpojAsm0KhVELYipDMtbeZqCzLPcCGDRt48skn2bRpE4qi0LVrV1asWOESJr56NOQ60LAECprmiBBb/w/SqhA+HNu5TigzZsygZcuWXHHFFS75uRwsWbKEUaNGucRFOt/565zdXhIIl0Tbtm1JSkpi8uTJvPPOO4SFhfHaa69x/PjxCtK1twhJcsuNGCAlJYXU1FRycnJYvHgxY8aMYc2aNezfv58ff/yR7du3ez2eb0+eJc/HImNhYWGF4FmKojg1KxaLhR49erBnzx6XOnv37qV5c88DmFltGoofxd558+bRqFEjpxFxfWOxmCj1UmBxJ99LhVAKacVEXD2epGbNIHMD7F0O+1bAr++4Nh4SA8376EJKq4EQXr1XomwPh6+WZCHXUmCpKsv9hg0bnG7Zb775JiaTid9++82jTOKSJJDlv84t3TEtJQdwHBZfBY47l5ps1bZu3Upqaipvv/22z/uuT/46Z7fX1L/IYjab+eKLL7jzzjuJiYlBURQGDhzI0KFDfZ4B2BONksVioVUrPYJn9+7d2bx5M6+//johISEcOHCgQhCvG2+8kcsvv9wjN9RwP+T+GTFiBNOmTSMpKYkOHTqwfft2Xn31Ve644w5nnYkTJ3LzzTfTr18/rrzySpYvX87XX39dKxdaq6qh+CLldCVomsa8efMYM2ZMhUzJ7sRG8gcWi5nCQu+mhNzJ91JjKIV21+gbCrPg7GE9hHlwNMS2Ag8EAsUegVYrzoJwz5NnVpflfvz48YwbN45JkyY5y8oHx6sJIQSyrCLLHtjrnOcI+4tFIObd8jc12arNnTuXdu3a0adP4Ll6e4MhsHhAIIRh6d69u1ObUVpaSlxcHD179uSSSy7xaT/eiGeaplFSUsIzzzxTYZqqU6dOvPbaaxWMdWvi8rhI9p0t9GJUFXnzzTeZMmUK999/P5mZmSQmJnLvvffy9NNPO+tcf/31zJ49m+nTpzNu3DhSUlL4/PPP6du3r8f9WVUNxU+C76pVqzh69KiLsOXAndhI/sASZMFq9W4KzB1B3J1QCgCExuifWiJbdIFFLTlbq/2rynKfmZnJpk2bGD16NH369OHAgQO0bduWadOmuX2eqaoVSRLkF6xny5bZ+lu3pLsH6IEv9Zg+EjKhoQ1o3Xp4jfmJfMnKbfv4ZW86zWLCdHtAWUKRZeeySZGRZQmTLDvLTYqMosiYFRmLScasKCiyjMm+nJNfAiUm9uQWU2ATBNltDIMUmSBZ95eSKk0L4viSXMwyHAFCy+pWfq1WdkYKIdDKh6WwL5dqooo9vKM6W7WioiIWLlzIlClTfN5vfWMILG6iR4oNAInFTlSU7jK5b98+tmzZwnPPPefT9t3VsEyePJmhQ4eSlJREXl4eCxcuZPXq1axYsYKEhIRKDW2TkpKqtkWoAiEJnz/qIyIimDlzposdQWXccccdlQoCnmJVBR54XXvEoEGDqny4u/1A9zHm4GBKA9zr1BNMlmgA1FLPBZbqstwfPHgQ0P9Pr7zyCl27duWDDz5gwIAB7Ny5k9atW9fYviRJWK0hmM27ycndXW3dM1kQ3SCeRnGXenwcteXuRXvtS7k+bTcIuHt1uk/brAyXK6vczbGme9IE0yk6mNUaanlGTbZqixcvprCwkNtuu82n/eoYbs3nBXVldFtTUKbPPvuMuLg4kpKS2LFjBw8//DDXXXddrVKf14Q7x5uZmcltt91GWlqaM0vvihUruPrqq30+nvMdqyowBbCBoK+xBAdT6tt7db2iWBoAnmtYaspy77CZuvfeexk7diwAF198MT/88APvvfce06dPr3lsipkBV22htLQQITSEUAGBpmn2dQ0QHDjwMzm5U7DZ/BtP6lxu7RDMh38Uc2VjladH9cGmaqiqhk3Tv1VN6GVCs28TqJq+bNMEpTbVWcdm3++nA3msOVzAzf1aEBsdjE0TWAVYNQ1rueiZjvRY5V84RbkFgWukTVe5X7isO3JtOSJNlyWA1dGjUZfFuYrdFoxS6NsnR022anPnzuXaa68NqEjxvsIQWNxEom6mhGoKypSWlsaECRPIyMigcePG3HbbbX5R/bmrCJg7d65H7dbW1kaWpPM6lxOAVROY/jryCpaQMKzqhWNfoATr00lqaY5H+9WU5d5h1F2ZN9rRo0fd7sdsDsZsrj5lRHDwbnJygToO4X/z5R348I+thAWbSW7c0Cdt5sr7WHN4L6M7NaFzs2iftOlr1u0PAR/OZFdnqwawf/9+1q5dy3ffeZaP7HzBEFjcpK40LDUFZRo3bpwzz42/CZwJMD0OjhpQI/IcqyYwXzjP7xqxhIZhEzJaaQlyLVMBBBJKcCwAqtWzaY2astxfdNFFJCYmVuqN5rMYGnYkSbV/163A0qF5PI0tJaw6YvJZHBvnfTKQXwIk2adeQtXZqoGeHbtp06Z+0bgHAn+h26d3nO/Zjj0lEOLOlMckSZzvswtWjb+UwGIO1eM/lOaerqHm+YESZBdYbHke7efIcl/+Uz7LvSPf0xtvvMHixYvZv38/U6ZMYffu3dx5550+PgqHnrJuT0RJkuiVFE6xppA8+TuKSrxzd4ey+5McwAJL+fQnvsBhq9amTZtKt7/wwgscPXrUI3d496n/H9rQsLiJFAD/rLpEQjd0DRRMyvkvsNg0CPkLCSyqRY8++uKs/0MJDcMkS5gV3RPEpEi614fdC8SkKCiKgiTr37LJhCybkBUFWTGjKCYkRUGRJWRJRpYkZLuniWT3LJFl3atEkRUUk2L3NtH7UBTFWS5LCrKse6XIjvZkSW9Twl4u2/vRgzMiSUj2yKrCVuTz3+qRRx6huLiY8ePHk5WVRZcuXVi5cmWtE21WhXBcRaLuI+K+OOYqfn7mSzJtIVw6dSm/v3CDV5qWQPDarAnxF3vR9TeGwOIBf6UTL9DEM5Msn/cCi1XoD+y/CmnBFwHwbXYLwq0mbELCJmSs9m+bkLGhf1trvBWp9k/9IKOhoPG/qyV2Zit4m/igsjg+kyZNconD4ilnz56iqCgHTVMRQkXTVLtBr2NZJTPjMDk5cezde4STJzW7Ua5wfpdfrmxbZXX3ZIMaHA2ShKoJ/SMEmiZQBfZvvfyyi2JYsreIPBHMiVNnadqo9m7mZYHjAvma8u2U0F8dQ2BxE93o9q914vnekbj2mBT9sldtGoq/fIP9jE1IWJTzc+y1IbSBblz537914vLe3WqorV9fqibQBGiqiqZaUUuL0VQrwlaKaitFE0LfJgSqKhBCQ1VVNKGhqSqqpmKzaWiaik3Vvx3eJpr9WwgNzdGPPX6GJkDTQKPsQSvAWU8VjlgbMqct1Wcwrw9OnTrI229/4GbtIUCq/eMdmoAPSnoA2YCeN0dCINvvHo51CXskXsCEQoRUgubl/cUemT+gBZYAHlrtMLI1nydoGoUFpWTnFjvVmI7gQALArvor501X5kYnyspdAgsJ13rOdUcAIvsfIUBogGZfFhqSgMS4MIKDfZNX51zkALNikW26Ot5qVc9bgcUqJGylJez4dZPzTnZu4CrXO5we9MsxfaGX6NlfhaZhs9nQVBWbTcWmWrFZbVitVmw2Gzab/q3aVOdDW7M/wDX7MkCh1UpaVjbJCY2wmBQkWeb0kcMEh4XRIKExkn26RJLKxiKhT6VIsmwPzqUvS7KEjL2OLHPyeBqa2UJBvntTKJIkYXJooEwyYIbQ2ufs8QfLVj6BGoAPody8kwBc1rcBCfFJ+v9AkpFkBVmSkSQFWVaQJJmCAg2TKcFeR3L5rqqs/Kd8eUFxKR/8dyPjLo3iwWsudZ4n5378gebQsNTCiOXEiRM8/vjjLFu2jMLCQlq1asW8efNcAnD++eefPP7446xZswabzUb79u35/PPPSUpK8qgvX2VrNjAEFrd5bVMhnbJyyeew3/o4JxBjjWxqEswVD/Xwy1g0PTG6X9quDdop/aFnK7ZBiH+ENH9TIpvJKS3i8++W1X3nwi4uO+NI6GVC0W8Be0+kgabiDCqRW8ihvIPe99uqM2fzPTNSDWQ0oSCE9wajvsZmLQag5UW9uOiinnXWr1UUABBkMWOx1G1aAIccoHgoEJ09e5bLLruMK6+8kmXLlhEXF8e+ffto0KCBs86BAwfo27cvd955J8888wyRkZH88ccflcbRqZYAznN0PmIILG7SXijktAwlq110hUe5JJ2zTiWPenuQofIRn8sb8jrOa2cYaSgz5Ld3IEkSQpKQZLB9fQi5yI9hRANLXiG0aSScPI16HutYhWIirkEUN/XvVFbmEuDqnGUEQnNMRWhlGjhJz5+iKAqKYtK/TSYsFgtm+ycoKMi+HKQbmsqKR2+6LvYKmoaqqXYNjX2aRdXLHVMxmiZctDea0MjJL2TJF59Tagnz+rebNWsWs2bN4vDhwwB06NCBp59+2un2m56ezsSJE1m5ciV5eXmkpKTw5JNPcuONN3rdd3k0FDQReOF7rTZdYDGZ6lYjZbNr6pR6cNVxaKY97fvFF1+kWbNmzJs3z1l2buTtJ598kmHDhvHSSy85y2pjAG3XxXu8n0HlGAKLm1gkiabNIunQ1/Msvf5gzfoTJKQX+619TQSUvIISrHs1qOr5Gz5OFRJRkeF0uKTuQqLXlvJTQAC10WlZbSpLvvic4hLvo6o2bdqUGTNm0Lp1a4QQzJ8/n5EjR7J9+3Y6dOjAbbfdRnZ2NkuXLqVhw4YsXLiQUaNGsWXLFi6++GKv+3egCRlNCzyBxWbVk0yaLSF12q9V1Q2hTfWQgFCzG7F4+g6zdOlSBg8ezE033cSaNWto0qQJ999/P3fffbe9XY1vv/2Wxx57jMGDB7N9+3aSk5OZPHky1113ncfjDKT76PmOoa9yFyECyoKq5bEiwqyCgwXFHCkq4XhxKeklVk6VWsmy2si1qRSoKiWaHtraU4PhQMqbBDhtG6y281dg8bfRbYsWLSq1H3jggQcAPfR7y5YtCQkJIS4ujpEjR7J7d/V5Z7zBbFKwCZniEu8yNoOeWXvYsGG0bt2aNm3aMG3aNMLDw9m4cSMAv/zyCw899BCXXnopF110EU899RTR0dFs3brV677LI1DsYe8DC1W1CywmD6csvO7XPQ1LTecmwIYNG7jqqqsICwsjMjKSfv36UVRUtf2T4w7laciJgwcPMmvWLFq3bs2KFSu47777GDduHPPnzwf0dCP5+fnMmDGDIUOG8P3333P99ddzww03sGbNGo/68nXguHolAB5/hobFXXxwzlVn6GW1Wnnqqaf47rvvOHjwIFFRUQwcOJAZM2ZUmpFzf3IYrQ4VYHluM7rjYpnTpzjnxBKAWcDehCCuesS9t3stsOQzFPuDXlPP34tfFRJmPwosmzdvRlXLHqY7d+7k6quv5qabbgL0TN+jR48mKSmJrKwspk6dyqBBgzh06BCK4p+4HKqkUOIDDYtLm6rKZ599RkFBAb179wagT58+fPrppwwfPpzo6GgWLVpEcXEx/fv392nfug1L3WlYVNXKmTOHXcoqe/nIzj7N6tWrXbJyA6SkpDiF0jlz5rBw4UK2bdtGXl4eZ8+eJTo62qvxFVv18624BhmupnNzw4YNDBkyhMmTJ/Pmm29iMpn47bff3AuA5mG8KE3TuOSSS3jhhRcAPW/Tzp07mT17NmPGjHHmdho5ciTjx48HoGvXrvzyyy/Mnj2bK664wv3OAuge6hsML6HzAy9tOmoy9CosLGTbtm1MmTKFLl26cPbsWR5++GGuvfZatmzZUqG97n9vx+HfMtE0dFsCdIFFCD3mgRCUuW0iiN6QQaMs9x8c+k0xcK42xxvcea1hQSbYj6Fuz012NmPGDFq2bOm8wd5zzz3ObS1atOD555+nS5cuHD582OcByhyokoK11HsNC8COHTvo3bs3xcXFhIeHs2TJEmf+nUWLFnHzzTcTGxuLyWQiNDSUJUuW0KpVK5/0XUbdCiyffvoCe/e6+5AQtG/fnh9++MFZUj7fTGFhIUOGDHEKBr4gM0+flt5zqvrp6ZrOzfHjxzNu3DiXODQpKSnVtulwa/bUhqVx48aV5m36/PPPAWjYsCEmk6nSOuvXr/eoLynAvC3PdwyBxV28nBKqydArKiqKlStXuuzz1ltvcemll3L06NEKrnQRUSF06ue+Pc13OSUk7nI/aZsIMBsWx5SQep4KLFZVQyARVEcu2aWlpSxYsIAJEyZUamxbUFDAvHnzSE5OplmzZn4bh5AUrFbfeNWkpKSQmppKTk4OixcvZsyYMaxZs4b27dszZcoUsrOzWbVqFQ0bNuTLL79k1KhRrFu3jk6dOtXcuJuoQkGW6u4cLCgoJjJSpX//Xs6yqoyns7KOsXZtDgkJCZVuf+SRR4DKg9bVFlGcD0Ci2f0Mf+eem5mZmWzatInRo0fTp08fDhw4QNu2bZk2bRp9+/atsh2nW7OH9+XLLrus0rxNzZvr91OLxUKPHj2qreM20l8tRrp/MQQWNxF4N0VSk6FXZeTk5CBJktdqW9C1pkKCEk1DRkKRqr/QHbFlvEW4BKZxXRaVlWvlYtKUBapBtunLR49loGgFgB7QyxnfRggXuxsJPcy6JGGPFaIfjiP8OuWWJXSvG2eodllBkiWkcqHf9bgjin4O2EO1I8t2b65y61X8pkV21XmIuW5Con/55ZdkZ2dz++23u5T/73//47HHHqOgoICUlBRWrlzpX3dU2YTNRwKLxWJxaky6d+/O5s2bef3113nsscd466232LlzJx06dACgS5curFu3jrfffpvZs2f7pH/QjW5Nct3ZsKiqRmioTLduN9RY96uvfmPfvk9ITEwkODiY3r17M336dI/jhnhCUJCe1LJJw2i39zn33Dx4UHefnzp1Kq+88gpdu3blgw8+YMCAAezcuZPWrVtX2o5DYPHUrXn8+PH06dOHF154gVGjRvHrr78yZ84c5syZ46wzceJEbr75Zvr168eVV17J8uXL+frrr30q7Bl4jiGwuIuXwX8chl4TJkzgiSeeYPPmzYwbNw6LxcKYMWMq1C8uLubxxx/nlltuITIy0qu+AU6J4/y3ycucXOhQZ9st7Mstl18PNQmCYgS8V36rXZhwfuOy7lqHSus6t0vn7ntuDdd9bcWJwP2MWXbAjaP1H5LQPA8EJUlodr91y5lMP4yqInPnzmXo0KEV7J9Gjx7N1VdfTVpaGq+88gqjRo3i559/9jy+hLsoJlSbf+KWaJpGSUkJhYX62/259g6KojjtEXzWZx0b3aqqwGJxTyvXs2dP3n//fVJSUkhLS+OZZ57h8ssvZ+fOnURERPhlfLI9jk9kRLjb+5x7bjr+R/feey9jx44FdLuSH374gffee4/p06dXPwYPp4R69OjBkiVLmDx5Ms8++yzJycnMnDmT0aNHO+tcf/31zJ49m+nTpzNu3DhSUlL4/PPPq9X4VIYkSReO0W0AYAgs7uKliqUmQ6/yWK1WRo0ahRCCWbNmeTNqJ0GWTDLMmVze7BZkWX+jFvZLSQgQkmTXUujfliKVpHyNCLN+iui3zHKRWKUy63ynpsYRL8YRS6ZCXUnfXQLJ0eI56866Utn+EhJHz+zlI/EOE8Qwmsa3cWpJpLJu9TJ7Wm0Ne2h1+71CD78uOaMNa07NjB4kT9hzn2iaPQKK3bPKEbZdCM0evl22a3/sD0KniseeGE841D6ibLtdLbw24yTthP+9OI4cOcKqVav44osvKmyLiooiKiqK1q1b06tXLxo0aMCSJUu45ZZb/DIWWTGhqd4LLJMnT2bo0KEkJSWRl5fHwoULWb16NStWrKBt27a0atWKe++9l1deeYXY2Fi+/PJLVq5cyTfffOODoyiPqY6NbnE7srMjJg1A586d6dmzJ82bN2fRokV+yPqsY7V7CZnczJFV2bnZuHFjgEptRo4ePVplWw4NS23uytdccw3XXHNNtXXuuOMO7rjjjlq0XoYwbFh8iiGwuIuXNqg1GXo5cAgrR44c4ccff/SJdgVwzrvPvGw8Iaa6jdXgCzZt+YpPC5bRp20SHXpeVd/D8Rir1cqJadMIkvyfh2bevHk0atSI4cOHV1vPERyuxAdux1Uhm8yoxQVet5OZmcltt91GWloaUVFRdO7cmRUrVnD11VcD8N133zFp0iRGjBhBfn4+rVq1Yv78+QwbNszrvl1RfBKHJTf3DKdPH8NF1i/n7eLI0lBSohIdXTshNzo6mjZt2rB//36vx1sVNpuubTK76WVW2bnZokULEhMTK7UZKS+EnYtDeVYfQevcJZA8LS8EDIHFE7w4+Woy9IIyYWXfvn389NNPxMbG1r7Dc7Ch32TN8vkZ1t6htTlf31X8lU/lXDRNY968eYwZM8bFQ+TgwYN8+umnDBo0iLi4OI4fP86MGTMICQnxw0O9DJPJjOqDB/zcuXOr3d66desKwr9fkEwgvHfT/r//e4ncXHdeHCIIqWUqivz8fA4cOMCtt95aq/3doUzDUrMWqKpzU5IkJk6cyH/+8x+6dOlC165dmT9/Prt372bx4sVVtue4FwRy8sP83Dyiyafkaf1eXt30kOR8KxaY5bKpTKumVNhLlL8fivL3xvI9nNubVGUd6Zw2NVVF2NuVTSYkBOFyITlKE2qfX9t7DIGljqjJ0MtqtfK3v/2Nbdu28c0336CqKunp6QDExMR4bRhptec/UaS6Mfr0Nc4pI3F+egk58PfoV61axdGjRyuosoODg1m3bh0zZ87k7NmzxMfH069fP3755RcaNWrkt/GYzGZKtMALtFZbSkUMQfJp79spheTkUnr2urwsHYPdEF3YM6kKu+V7y5a9qmvKyaOPPsqIESNo3rw5J0+e5D//+Q+Kojin+9LT00lPT3dqXHbs2EFERARJSUnExNTuMWSzz7ma3Zi2qurcBN2Dqbi4mPHjx5OVlUWXLl1YuXJlte72TqPbANawbKEbm0uKubVlWZi78t9lMbNcj8FSepbo7K2ciemDqtgFW0c+MMdEk3AsO5wW7NtFue/KysvXdykT9k2C0sICzp48Tmyz5piDggCJA0ePUGJLobdvfyKPMAQWT/Di9b4mQ68TJ06wdOlSQA9SVJ6ffvrJ6wBYNqFiFqZav+nXlN00Pz+fSZMm8eWXX3LmzBmSk5MZN24c//rXv7wa97mcrxoWp0GonzO3Dho0qNLAYomJiXz33Xd+7bsyzGYLcgCGsq8tZlMDROkhr9vRNIno6Aa0Tal6ysNTjh8/zi233MKZM2eIi4ujb9++bNy40RkDZfbs2S6B5fr16wfo0zTnepO5i9Xmfmj+qs5NB5MmTXKJw1Ij9qYCV1yBQlM0i9QhPHHX9bXav7IJ5BkzZjB58mQefvhhZs6cCejJGh999FHWr19PSUkJQ4YM4c033yQ+Pr72gz+H1Y8/TGNz5S7zdYUhsLiLD66K6gy9WrRo4XH4fE9QsaGI2mlX3MluOmHCBH788UcWLFhAixYt+P7777n//vtJTEzk2muv9Xr8jp9fnKcaFoegeL4KXLXFYrEgc+FoWIIsEai2qsPFu4umyZhMvp2e/eSTT6rdPnXqVKZOnerTPh3JD82mutfcOuOwBHCCGV+b3G7evJl33nmHzp07O8sKCgoYNGgQXbp04ccffwRgypQpjBgxgo0bN7oXLfg84cI5krrgPH7alAobJmp3Uykf9O7SSy8lOTmZQYMGuahrf/nlF8aMGUP//v1p0aIF99xzD126dOHXX3/1yfjLHvi1+yfMmjWLzp07ExkZSWRkJL1792bZsmXO7XPmzKF///5ERkYiSRLZ2dm+GLYT5/j9rGEJNIKCLJjOUyGzMmQlnGDF+6SjmiajKOenPVl5HDYs/kw5URWqYzrKT2klfIEvzWvy8/MZPXo07777rsvL4s8//8zhw4d5//336dSpE506dWL+/Pls2bLFKcBcKBgCy18EVdgw1VKhtnTpUi655BJuuukmGjVqxMUXX8y7777rUqdPnz4sXbqUEydOIITgp59+Yu/evQwaNMgXw/f6yndk+926dStbtmzhqquuYuTIkfzxxx9AWdjyJ554whejrRRJ0/w9IxRwBAcFIUuCohL/xGKpaxQljGClmFJb7bVGmmbzi4alPnAKDfWgYXH0Hcg2LJIkOY1ZveWBBx5g+PDhDBw40KW8pKQESZKcQfxAt1mTZdnjVAKBjjEl9BfBKmyYajkl5E7QuzfffJN77rmHpk2bYjKZkGWZd9991zlP7i1lU0K1e+KPGDHCZX3atGnMmjWLjRs30qFDB7+ELa8M2+lTfm0/0AgN1o3Fc/OLCAkK3Af06HkrOZGdR3LjUrslZPmHjCPKoYQp/xR/b6WxbNMtSOYIkGRABkmxf8tI9mVJMiFJCpKkIEsmJNn+rQlARqmHh7yvsdoTGtaH0KCeB9K/r36VTz75hG3btrF58+YK23r16kVYWBiPP/44L7zwAkIIJk2ahKqqpKWl+WgEgYEhsPxFsHkxJeRO0Ls333yTjRs3snTpUpo3b87atWt54IEHSExMrPBGUBu8nRIqT2XZfusCSQiKDx2us/4CgZBg/a0vp7CI+FjfxBTyBz/vKQWCOHpatWf/rRiBGQSNQ2PJahZBDFvJLtAjFsqAgh5HxS6+IEtl3+eiqibgFk4WZ/vxiOoGm1p/GpbzQF5B9oGG5dixYzz88MOsXLmy0ojUcXFxfPbZZ9x333288cYbyLLMLbfcQrdu3S4o+xUwBBb3CVyto1vYhIpSS4GlpqB3RUVFPPHEEyxZssQZEKpz586kpqbyyiuv+EZgcbgBenGTqi7bb10R2r1bnfZX34SF6DfYvALv7T78SWTkKRpGCn58cKwbtce51aYmNGyaFVWzYlNL0YQNm1bK6ZxMfvl5KQTXr8eFL3Aa3daDHYljSiigkcq7LteOrVu3kpmZSbduZfcOVVVZu3Ytb731FiUlJQwaNIgDBw5w+vRpTCYT0dHRJCQkcNFFF3l5AIGFV+LXjBkzkCTJqU6H2hsvvv3227Ro0YLg4GB69uzpM2NNn3I+iPRVIBDItfx31xT0zmq1YrVa/ZrLxTkl5IWGxZHtd9OmTdx3332MGTOGXbt2+WR87iDZI8v+lQgP0TUseUXee9b4k2CLoNDHAX9lScaiBBFiDiciOIaokEbEhjUl1KK7GVtMfkw6WUc4PHVMdZSFvDzng8Dii19lwIAB7Nixg9TUVOfnkksuYfTo0aSmpqKUExYbNmxIdHQ0P/74I5mZmT7x0Awkaq1hqcy9CsqMF4cMGcLkyZPdauvTTz9lwoQJzJ49m549ezJz5kwGDx7Mnj17/BrUyjPObxWLJGr/sK8p6F1kZCRXXHEFEydOJCQkhObNm7NmzRo++OADXn31VR8dgPdxTKrK9vvOO+/4YoQ1Uhbs6a9DeKge9KrA19KAjwmxQE5B3VzjRaW68GYxn/8CizPSbT1MPZwPAoszWZoXRERE0LFjR5eysLAwYmNjneXz5s2jXbt2xMXFsWHDBh5++GHGjx9PSkqKV30HGrU6y6pyrwI9YuGkSZPo1cu96IwAr776KnfffTdjx46lffv2zJ49m9DQUN57773aDM+gCmorsDiC3n388cd07NiR5557rkJ2008++YQePXowevRo2rdvz4wZM5g2bZrPAsdJfhAYHdl+6wx7JNO/EpGh+pRQQXFgTwmFBUmUWOvmoVtSqp9zQeagGmoGPmo9xmE5L4xupbrJ1bxnzx6uu+462rVrx7PPPsuTTz7JK6+8Ugc91y210rCUd696/vnnvRpAaWkpW7duddHGyLLMwIED2bBhQ6X7lJSUuDxocnNzvRqDW5zfChYkIXl1DDVlN01ISGDevHm176AGHF7NtRW6qsv2C/4JW17hGDh/A9/VBmHTiLAb3eYWFFNYakOWJBRZQpEk5AByR40INmG11c1Dt8h64WhYHEKDybBhqRRZwmduzeU515txxowZzJgxw+f9BBoeCyzVuVfVhtOnT6OqaoUQwvHx8ezevbvSfaZPn+4SYrouyCnVyPzjDJY8q/0tuZK3ZVeHAk5lFmKzaiQkhpXbLsqldxDOclFuP1FuQdco6voF+yKgS+7OZfsHCbLVHHaZfkcKtSIQ9jlmwZ9Fe87zqDveeQnVlO3XH2HLCz96BnHoFxx5OgbKJYTmmDk062ckoTnLy39L56yfm+tDctlGhTqO/cvi6trPIwTCpnJQ68xBU5nxnlZsQ9gEskUGc9UniFu/u7BPeQnILD1LiVQWe2XhxsM8/0t+hV3szsBIgCIEM9a+SWL+KUpNFoQkISQZTZL1ZVlfRpLQZBlxzrKQZIQsgSQj7GWtjuwEYF/LLnovjjTIzmVAkhhWVMxVNsG3//w/Uv71b1r19V9CyBKr/rL147of+Xnrz0iSRJj5NM2jM4kMikKyu0pLTjdpSXePdqwjIzncpyX7Moq9TLa7UsvObbKklNVH0tuWFPt9RXb2h2O5XB/672Tf3/6fcvaLRHH+EWKDBVsP7bHbUigEW0LpmtTUbwJpakYu2zNzOV5QArLEU9sOUaBppAQFIZ9zX4QyD0MZ1/unowxnueR6j3V87AWObWVrAik7izhNLbtHO+rax/FLmhUhBa47//mGRwJLTe5VdcXkyZOZMGGCcz03N5dmzZr5tc+NZ0ooTC+CP7M93nfv7rO+H1A1nAozs7TT20jCIejISDJcarm4TsfhS7wNbV9Ttl9/hC0373gLc3AppUW6HUeK2YIqLHD6uN1zwOHyqN8Fhf32KRwPU5x317J6SM59nQ9dxz729bI3Ose6vj2m5BhC2Dho7u4UcGVFRthUZEUGRan2XdBlWq7yRadAkBTWGJum0rpFK04UWGkXHA+yCVUTaJpA1XSDTU0IVNX+bVNp89VRCmMSyO59FWgqQlVBE/qyEKCqoGkITQNN3yZpGmgaCM1lWS5n8G1SFHtyN6HvK8onkIMGwoZNzifxt5McWfqJXwWW5IRkisKLIBdsuTYQ0KT5TiIsRygtjaQswZ0ASRdsJamcUCpV9Y19ue64NFH/lJYL91EE/FryAb1SLvNLnzfN3Yg1VxeGtUgz/5eTo2/Iy/NLfzUR9GMakrUqzakhrPgSjwQWd9yrFA9Vgw0bNkRRFDIyMlzKMzIySEio3O0vKCjIJapfnRBiolOvhvQY2qL8c6Lc3dp1ykWSQLVqCCTMQXLZ9vISunO93LJcXn7H+dYqBAhNuKy7bBMCocH/fbiEsEORbLt9u79/kTqlLHDc+TOlIoRMgbk3YVOXA1DfEwClL4+gkWrl9sfuqeeRVI5mVdnzMjS9cQzd/327T9tu52a91Zd3pqTUvx5NTWOa8uKjL7qULVw7gqwSCzcP3VrrdjVNQwiBpqkIoaJpKqpqcy4LoQICTbOha4g1hFDt15SGpqmAZi8/pwyBcO6n7yPQEJpKnlWgmEwIoXI27xglZ2ZQXJJV6+OoCVuxSrsOcTzevxVmRaIQKFQ1GpkVNM0+2jLltV2ZXaYjdMwkOYRVR1JjgXAuU35dlFsvV/+no0dZhInnLo8gKSrafi8W9j70SgfOltCysaud5/lN/U7DeSSwONyryjN27Fjatm3L448/7rGwArrnRvfu3fnhhx+47rrrAP3C++GHH3jwwQc9bs9fyIpEUISFkJj60yy5gxSsImvnfwTNCkjn9XxWgBA4NiOV4hxePd4UFRlVrfs0Avp0jXfH7QgrUJv7sK84knmI/Wf8a0shVEHTBiH0b+Yb27LaUpJ1jEX50KtTK9o0rvzl2vsIVIFG/d5DPHoKONyryn/Oda9KT08nNTXVxXgxNTWVrKwyiXvAgAG89dZbzvUJEybw7rvvMn/+fP7880/uu+8+CgoKGDvWnSBOdYTknUuqqqpMmTKF5ORkQkJCaNmyJc8995xLm0IInn76aRo3bkxISAgDBw5k3759ng3TBLJ64Qks/vAS8hdFS9+k4JWbURTreR27p84JgN9KkyRQ616LJ8lmZM4f7WHV+Pd/WGhVQRVEhdR/zFOHpkYKIONxf+KLKOPe4vPX1tmzZ3PxxRdz9913A7rx4sUXX8zSpUuddRwR+RzcfPPNvPLKKzz99NN07dqV1NRUli9fXsEQtz6RJMmra/HFF19k1qxZvPXWW/z555+8+OKLvPTSS7z55pvOOi+99BJvvPEGs2fPZtOmTYSFhTF48GCKPXAJlUxcmBoWO+fDlJDy8zRCclYghITUpEt9D+ccPD+J165dy4gRI0hMTESSJL788ssKdf7880+uvfZaoqKiCAsLo0ePHhw9etSzjqQKC3WOUCTdDsYDpk+fTo8ePYiIiKBRo0Zcd911FQIt1oQsmagbB1j/UnYE/vkfnsjT74WxofU9wapPPYFuHv2XwZfpp2uB12Lque5V7hgvHj58uELZgw8+GFBTQOciSd69AP7yyy+MHDnSGbq+RYsWfPzxx86IvkIIZs6cyVNPPcXIkSMB+OCDD4iPj+fLL7/k73//u1v9KCYJSTMhhHAaql4IOEPz1/M43KUoqCdhz62o8QJTVZWpU6eyYMEC0tPTSUxM5Pbbb+epp55y8TiojJdeeomJEye6PabahggvKCigS5cu3HHHHdxwww0Vth84cIC+ffty55138swzzxAZGckff/zhuWF+AGhYhCzpRrsesGbNGh544AF69OiBzWbjiSeeYNCgQezatYuwsDC32pAlE/J5c3ZXg5//h2kFuodVXFj9CyyOQ/XVfTbjUBpfvvw6mmqlvCVNuR5plNyWGyf5JraVxwhR3/KKkUvIbSSnGWyt6NOnD3PmzGHv3r20adOG3377jfXr1zsjwR46dIj09HSXvDtRUVH07NmTDRs2uC2wyCYJgYymCRQlcAWWvJzjPPblDeRp1jLDOEBzLEv6suPRcQyb/tJWUj+eAJ7j3rni0LzNnz+fDh06sGXLFsaOHUtUVBTjxuk5a87NuLps2TLuvPNObrzxRg/HVDst4dChQxk6dGiV25988kmGDRvGSy+95Cxr2bKlx/0EgoCtyRKonv1Iy5cvd1l///33adSoEVu3bnU7W7ksm30msLgjBJfnX//6F++88w6vvfaaS5qV2uCYNkjNyOPs3gxCzDLhZhNhFoVwi0KExUSEWSHUpNTq/53uEFhC6z/onmM6X/bRebt/yw7yz+wkLKY1smIup3CUEAIKc9I4tvNnoJ4ElgDAEFjcRJLAm9mISZMmkZubS9u2bVEUBVVVmTZtmjNabHp6OkCl8Wgc29wap/0/+s3aH1HMegwGGZkD2fvp0DyF/h371P4gqkFoGj9tfIW8Yt1WSbfKd5rj2y3uHRFmBMfzjrOeIrooobQ0RyJTFmvGoWJ1RIeQkLg0v5CSX8+Qcm39P9TOpXjNItQ/1zq14EGy+0abNWnegArecl999RVXXnmlx4nNZDULNN96wGiaxrfffstjjz3G4MGD2b59O8nJyUyePNlpRO82AaBhQfJcw3IuOXY3W08CDvpSYHFHCHawZMkSNm7cSGJiok/6Lra/YqzYnsafP2ypsp5weETKEpIiIckSsqJ/FEVGUSRMiozJJGNSJMyKjMUks+7R67FmZXCdq5MV999/P2+//Tb9+/dnzZo1LtvuvfdeZs+e7ZPjK4/jLDn+5x604yeQZRlZkZFkBUmW9XVZQVLksnVFX5dlBVmWkRQZNAnZpGC1B0Md9fSTxDRuWKG/hU//l8yDv6FpWj1mYT7Pp4T+KkiS5JXR7aJFi/joo49YuHAhHTp0IDU1lUceeYTExETGjBnjs3HGNogmAzj+qeOEVu2f5mwxnab/W1Xv6w2Hj67j4X0ferRPjKrxzrUfEtawTY11S7at5uB/7yN4ZOCdstJ34wkLKRcULQhKYpLd2rcmzdu5ZGRk8O233zJ//nyPx2ku+t3jfWoiMzOT/Px8ZsyYwfPPP8+LL77I8uXLueGGG/jpp5+44oorfN6nPxGyhORFBFVN03jkkUe47LLLKuR/qQ5ZMhOmCFTNhiJ7d467IwQDnDhxgoceeogVK1Y463qL2aI/0K4f2Iq7wy+h0KpSaFUpsqoU2zSX5WKbSrFVo8SmUmLTKC33sdo0bKr+KSkRqKqGqgma3PsGZpPEd3f1JtxiYufOnVx99dXcdNNNzjHcfffdPPvss8710NBQnxzbuZQUADL8OPcNwooLfNau2VJ57BZZllGtWbx2y7kJDSsTIqoSLCoLoFSxbmUxl4RmJTKuVRXt1g2Bd/cPULy0uWXixIlMmjTJObXTqVMnjhw5wvTp0xkzZozzLTojI4PGjRs798vIyKBr165u93Nj/yFktj1LidWKJlQ0oaFJGh8v/ZbIXf5LNV5q0y/YDy5+jI7tbrRHxcQZLVOS7ToUSaql6t9uwxKA4bglVAqUSwmbshLQtU1hbr4B1aR5O5f58+cTERFRqS1JTaiWZki2fJ9a2juycY8cOZLx48cD0LVrV3755Rdmz57tkcDi/N/W40ucLrDUXsPywAMPsHPnTtavX+/RflHhLbHlwtGsLSQ3dD8PW2W4IwRrmsatt97KxIkT6dChg1f9lceRvbltw3D6JfnfaWLGjBm0bNnS5TwLDQ2tMoaXLwmKiIeCLHr9bRKNgmU9Do5mj2NjX9Y0e6BDIdCEWq68rO6po7mYzBKRDYOIiG1ARGxUpf0NuOMWtq9oitBEuZgvZYFjyuJzldNmO4N5lYtFI86N51UWy6usHUedsvLTx/IIbdDDj79ozRgCi7tIEt54HRYWFlZQ4ymK4rzhJycnk5CQwA8//OAUUHJzc9m0aRP33XefB8OUiG9cURXdrFEiebv8p0YU9uOwmIIxm33/RuN0HQyEaYMKCJDLPLMkD9S1nmre3nvvPUaPHl2rSNO2oDZI5Pg0gF3Dhg0xmUy0b9/epbxdu3YeP7SdUzH1pu6undGtgwcffJBvvvmGtWvX0rRpU4/2jYvsTNpJOJ13yGuBxR0h+MUXX8RkMlWYIvIWzWnX4f//YWlpKQsWLGDChAkuL0EfffQRCxYsICEhgREjRjBlyhS/aFkcd6IOfVNo0sA/WpzyxCUlMOjum2qu6Cc+nfYrQWGVC1N1hSGwuInkZRyWESNGMG3aNJKSkujQoQPbt2/n1Vdf5Y477rC3L/HII4/w/PPP07p1a5KTk5kyZQqJiYme2wJUNn4ZEBJH0raB0BDCZg9hrtpDlasITbUb6tjDngvNXuZ4S1DL6qM5yzZs2cVbcz5l98FTdMwexZIlS3wyZtcDcOolfduuD5AkDWqpxq9J81aedevWsWfPHj799NNaDlTG135WFouFHj16VHDj3bt3L82bN/eoLce/tjbPuhMnTvD444+zbNkyCgsLadWqFfPmzeOSSy4BdE3l448/zvfff092djb9+vXjzTffpHXr1q5jkOWyABvujlsIHnroIZYsWcLq1atJTnZvOrA8qtDtF8xKiMf7nktNQvDWrVt5/fXX2bZtm88NnR3JEOvC1ffLL78kOzvbJdfXP/7xD5o3b05iYiK///47jz/+OHv27OGLL77wef+Os8RXRrfVsXbtWl5++WW2bt1KWlpatfdYXxpRBxqGwOIm3qYJf/PNN5kyZQr3338/mZmZJCYmcu+99/L000876zz22GMUFBRwzz33kJ2dTd++fVm+fLlP8jZZCk4hE8E1K8b4XOWetzePwiY2Ei9L5OibHsbecJsA17BItbuUatK8lWfu3Ll0796dLl1qGdtFkmsl8OXn5zsDQYLu0ZaamkpMTAxJSUlMnDiRm2++mX79+nHllVeyfPlyvv766wohD2pCOAK2efgAOHv2LJdddhlXXnkly5YtIy4ujn379tGggR4SXQjBddddh9ls5quvviIyMpJXX32VgQMHVnA9FrLkkoPIHR544AEWLlzIV199RUREhNNIPioqipAQ9wSQUpseX8SkeO/9UpMQvG7dOjIzM0lKSnLuo6oq//73v5k5c2alYSfcRbOroeviIT537lyGDh3qYjB8zz1laSc6depE48aNGTBgAAcOHKiV51p1ON2afdpq5dQUWsCBr42oAw1DYHEXCY/fvMoTERHBzJkzmTlzZtVdSBLPPvusi8GYr+gUFM0aYG7K3Ugmsz5t4czoqmdfRS6XxVVS9GkOyZHBVS93lsl6ZlYkCcvVQViUYCJDG9LoTc9U4W4TwFNCkiSgluHQa9K8OcjNzeWzzz7jv//9rzcjpTYali1btnDllVc61x2JR8eMGcP777/P9ddfz+zZs5k+fTrjxo0jJSWFzz//nL59+3rUjyi16aP08Ld88cUXadasGfPmzXOWlddy7Nu3j40bN7Jz506nvcasWbNISEjg448/5q677iobQy2MbmfNmgVA//79Xco9yfRtVXXvLYsPNCw1CcG33nqrS/gEgMGDB3Prrbd6HV3c166+VXHkyBFWrVpVo+akZ8+eAOzfv9/3Aov9uy6icNcUWgD8Y0QdaBgCi5t4GziuvjHZbSy6X3wPSj1m2q41jnmCAJwS0m1YancpuaN5A/jkk08QQnDLLbd4MU6J2hhi9e/fv8bp0DvuuKOCkOUpwqq7g0tVeElUxdKlSxk8eDA33XQTa9asoUmTJtx///3OaNsldnfR8ppKWZYJCgpi/fr1LgJLSE4xBQ3dC/bmHLcPbgxWVdewWEzeCyw1CcGxsbHExsa67GM2m0lISCAlJcWrvjX79Sn5Poi6C/PmzaNRo0Y1PphTU1MBXBwZLkT8ZUQdaBgCi5t4OyVUp6g2+4Nd2C3AHdlXQai2+h1bbZFlTjXsQs76fEzHv3ZxydNf5iS7TFMulbYklWXHlh1eS47M2JJLudUGx9OgSYJESKiEJMnYHZyQZd2zSZIdH/0NUpL1vpJMAq04jayt64nqfCmK2X2zVnc0b6Crusuru2uFJAe01C1K7QKL2TOB5eDBg8yaNYsJEybwxBNPsHnzZsaNG4fFYmHMmDG0bduWpKQkJk+ezDvvvENYWBivvfYax48fdwnKl5t2hMSjBZzK9p2LqrvYNP3YzYr3LxPuCsH+wBmu3o8aFk3TmDdvHmPGjMFkKnuEHThwgIULFzJs2DBiY2P5/fffGT9+PP369aNz586+H4f9WAMhMpS/jKgDDUNgcRM9cFzg3uwdZG78mW8+SMcmgtGEjIYJgQLYU5yfp1mPi6VQdnS8B4qAP/3Xz4mT5WPuusdtcTFEWH+Dr4dz9I8pJN32qN/G5xV+MLr1JaLEIbB4dlvSNI1LLrmEF154AYCLL76YnTt3Mnv2bMaMGYPZbOaLL77gzjvvJCYmBkVRGDhwIEOHDnXRjoRE6cG64nJh2Z3DibrpRtpeOoSYGP/bA6iaDQkwexmDBdwXgsvjjd1KeRxGt/6cEVq1ahVHjx6toNGzWCysWrWKmTNnUlBQQLNmzbjxxht56qmn/DIOpw1LPd9S/WlEHWgYAou7nCcnQs7JMxRpDeh1yVnMQQqyUoIsS8gyhDeKwuSnIEr+RgrRxz3ib9BswJX2OAH2jyZAs5v7OdaFvcwRq6BcmTPegFbWhtAEtlJVV7jY1/WPZnemssdXUPUYBZpq346gsGQhtiiZ0M+uRSrNra+fqGak2k0J1RWaXcOChxqWxo0bV+pW/fnnnzvXu3fvTmpqKjk5OZSWlhIXF0fPnj2dXkQA5tAw1FefQpnwPC1+Pgg/v8zP/RYzYs53tT8oN1FRMQGydJ4nLrVrchU/HsegQYMqnYZr1qxZhSi3/sTpJVTP2Zr9aUQdaBgCywWHfvF0GjUAS2R0/Q7FhzjfHOxJHSt7k6hv3VHx4kDPuCsjBaQNkB2bPl0pe2jDctlll7ntVh0VpceR2LdvH1u2bOG5555z2d5x2GhKr7yerJMHybj2JlqtPcSJ3Vtp0ra7R2PyFIdBbF3EL/EnjjRMF/qbPpTZLin1PCnkTyPqQMMQWC406iFeSU1ur74lcAUCgYwUwBoMbxN4+hthtdtXmTx7Ox8/fjx9+vThhRdeYNSoUfz666/MmTOHOXPmOOt89tlnxMXFkZSUxI4dO3j44Ye57rrrGDRoUIX2LCGhJLTsSPbcVxG3T2DHa8/Q5J2lXh1bTQiHO3C9i93e4TC6rYs4LPVNWbZm//dV0z3WX0bUgYYhsFyo1KFxZU1ur74h8G+AQgT2lIuugwpggcU+JSR7aMPSo0cPlixZwuTJk3n22WdJTk5m5syZLpFd09LSmDBhgjP1xW233caUKVOqbbdtr6Esa/U0UnGJ5wfjIQ6vGhHA/x93EHUYh6W+cRrd1sGx1s09NvAxBJYLjXJTJ3WFO26vfwUEUkBPCYkAt2Fxalg8tGEBuOaaa7jmmmuq3D5u3LhaeVAIWQZV9Xg/T3E84LUAPn/coSzS7fmtKfKEupjF8/Qe6ze7lXo+Pf86Z9VfhXoQWOoSb45q1qxZdO7cmcjISCIjI+nduzfLli0DICsri4ceeoiUlBRCQkJISkpi3Lhx5OTkeDC2wJ4SkgLdrdlhw2IKnPcob3ILeYIj+JgIZBsjNxCi7rQO9Y3DabSebW7rjED4nwbOncHAR1zYAos3NG3alBkzZtC6dWuEEMyfP5+RI0eyfft2hBCcPHmSV155hfbt23PkyBH+9a9/cfLkSRYvXuxW+4EusAT8lJBTwxJAt6Va5BaqVTf213TtPL9uNaFroxT5PPd2cgNnVN/zYLr6QiGA7gyBTUaJlWNb0/l5/2lAV/+7dZ6ec/+REC6yRLVNVNjXdVNwUjiP3tX1nEqBmySwvhkxYoTL+rRp05g1axYbN27kzjvvdHGDbdmyJdOmTeOf//wnNpvNJUBVVWiaRFGu/+0dak2ATwk5vIQ8jcPiTyRJIvJgJl+MuRIsZoTFTLOrruHSG93PoO5eP/r3eS+waKUAKJIvc4L7jw9PnCatxEqIImOWJJ4/eBLQNV72+JL6t+NjDzgpAaJEAxO89PIm3VPIGa+yXMDKckEqpXKN6Yv2epJEYqcYRg/0beqAC5HAuTMEONtTQog6Bg0tJqTy95TKbjA1qM6EJwJ5FXWLTxZi2pVdzQ7n943P36iqymeffUZBQQG9e/eutE5OTg6RkZFuCSsASDImz80v6gxRhxqWtNRT5KXl2/NSgaSUixYsAfaowbIsIZtkJFmi9LA+/Zaz9wjFsoJkMSGbzCgWM7LFjGwxIZtNKBYzUpAZRfH/jHb00GEUfbOc6NPFyKX5hJ8qoGD/fPCxwCJLCnps6gAWKN1AiFIkQPFBEkd/c7K4lIl7j1coD1NkWoYEoeekF3qYJ6H/Z4QQqMJxFWmknCxBCdafCQLhDPmEva4ebFzTdzin3LEectbKvqxiMASWGjEEFjf5Nh5aJUezvme7+h4KAK998DulqVkVyp2y0nn+plYlXh7Wjh076N27N8XFxYSHh7NkyZIKQccATp8+zXPPPedROHxZkYjK+YWMVYt1uwdNRagakiITe/kITGHhHo3VdvBP1P3bAccNzh7oDq3s/ysAodrXHXdSoWvYnPX1b/OZVWiqhTOf7rFvw566wd6hKN+P/caqAZq9jjNY37llrvsITfDV3lw8NVWNzDnFJUDOMxPcql96zVi6vPKYh714Rp+7noS7nnSuL7prIAlHfB8c0GnDcp6/aGhaKQpgkgNYcrdzqEjXht7TtCHD46IpUFUkJK5oEF4heaQ/efnd7QTtD+CAkwGEIbB4wP7CwFH3V6mkMaaEqiUlJcUZ8XTx4sWMGTOGNWvWuAgtubm5DB8+nPbt2zN16lS32y6RY2lo20Hk+jsrbDtZlE/i9Xd7NFax8A6CbLs82qcmirUrKdqe6fmO555wUrlCybVcEwIV6N4hhvbXXYRQ0aMOa2UCDVpZtGBNFQhVoNraoaa1RZJtCKsNzWpF2GwIq4pmsyGsVjSbDWwq4t0Z2I4ersUv4B2y7F/DZbUODHz9idDshtNy4E8JnbSngugaGUrPaM9eJnyNMOxg3MIQWNzk4ohQ2oUHTpbj0qJCgos15k74rOydTIBqlYEGLH1mHLJss99bBWgqNpuKkJSy3ICOy6SSdV2tK9H//ilEtetTl4dWBY4oTd61YrFYaNWqFaCHa9+8eTOvv/4677zzDgB5eXkMGTKEiIgIlixZgtkDF9uofy8nLzMdSVGQFQUU/bcOmdWexN8eRUt9CpfkjC4HVPatT91ImMmmJHo4pn++BpLsTPKoz7GUn1xXyspwJGUsVyZJuu+lJBEqSYRK/rX4L8kpgcd/JjwxjMhmkR7u7V5W3S3fLEWyZ3euUxTFL15DsiShcgFoWHAILIH/aEkr1s+fpkH1LFxpAmH467pF4J9VAUIAeHS5kBWaS0mcmQ55UtkzXAKT2UaQ2IHJpOlurI5NkgmLqQRTSJj+QLTPuQokfVrA6VZp1/irGvtPFtEmdX2ACCwOfPuP0DSNkhJdc5abm8vgwYMJCgpi6dKlBAd7JqCaw8IxJ7eqUJ7e421K0g8RdTAbgOC29kSUjukafcX+5ciyrWFFQ7nsHygN4yvtb+rUqTzzzDMuZSkpKezevRuA4uJi/j1hAp988gklJSUMHjyY//3vf8THV96er7AW6w8tk9mPd2GzGWEt9V/7VSDLisdeQ7nWIgqspWhCQxMaNqEihMBmn8qzCZWMojxigLOFaZhNUS5nhWt0H8fUkYSmFqGqeZiDGiMhI0mKPW2FYl+X9azi9jZke0oLCbumCz0yrbCLScKZ3Z2ydYSzrmO5bGRlo9G/BEWlZ7EApvMgJ1KGPVBhUojnAkteXh5TpkxhyZIlZGZmcvHFF/P666/To0cPj9sSmtDd5w1qxBBYPCCQTqmSBoKlvSy8NvRvVdR42Kv2rblneOPuMViLCig5dQz9FimQ0Owv9/Z1+9SThABZgZiL/CPd+SAO9uTJkxk6dChJSUnk5eWxcOFCVq9ezYoVK8jNzWXQoEEUFhayYMECcnNzyc3V55Xj4uJQlNrfgBOG/xOA45PWUdAolJRbfZeXpkOHDqxatcq5Xt5AePz48Xz77bd89tlnREVF8eCDD3LDDTfw888/+6z/ylBL7K6tFt8/tH4bPx1lxSeEaaUUJF9S8w4+RlIUj6aEtp0+wrDfM0GqXlPXRjTjP8DpvQ9y2ssx1idRgA2Fo8UQ4wOF9H0b57Nu3/8wmWKIj+7C670fpm20e1q4mjhjd6NvVAuvtLvuuoudO3fy4YcfkpiYyIIFCxg4cCC7du2iSZMmHrWlaSKwHi4BjCGwuEmg2bDKknMCx6dUeGtf9C1xEf/l8aH9a9xXkTSuHz2M5iMe9Pm4yjQRtT/mzMxMbrvtNtLS0oiKiqJz586sWLGCq6++mtWrV7Np0yYA55SRg0OHDtGiRYta9+ugGNB8/BA3mUwkJCRUKM/JyWHu3LksXLiQq666CoB58+bRrl07Nm7cSK9evbzuW9M03bbXpiFUDU3VNXMFmUUAKEG+F1hsx46iWiIwDbmRJlf39Xn7NSFLMpIHU0LHi3JAMnN1aBop4WFIkoQiyXa3WQlZkpElkEUyJ8R/iQsuy6bu1KU4ZfVztBulGXz9wad88/luMo5nANC8dTP+8eDf6NGvC+nH07n9qspfXB6f+RCXD+1l70cqc7F16mPsW5wvCOcmHC0/lVmm9dmcU8A32WZeFTX/762ayqG8M+zNPcmh/AyO52eSXpjJ6aJT5BafIr84E1vJYaKjLiEnZwsnM49z01ffEhHZHQkZWVJ0LZJsQka2/5YKsiSjyCZsQiLf3JKwqMuRJQlF0hMVKhIoksSugiIk8NjAtqioiM8//5yvvvqKfv36Afp98+uvv2bWrFk8//zzHrUnNPHXiT7nJYbA4iYO1Wyg4M+RON7a0zd+Q8HpNBRFIToi3D59pLtlC2HXsZRzTFn5xTJWfvY1oUu/1dXI5zi3VOJUQk6xfgpGWPS3HaeTi30sDkFRk8Ih/H4K8gprfVxz586tcludpBcQ+Fz1u2/fPhITEwkODqZ3795Mnz6dpKQktm7ditVqdcni2rZtW5KSktiwYUOtBJY93xzkp28Po5X7/1RHULgfPEUsFiSLhZjLexCWnOj79mtAMpk8mhLSH4YaIxsn8bekDj4fT3GvWIZcprgEQ3z2vpfZvn07A/vdyOC0US7158yZw8svv8xTd75AeLjvDU13HkrnUHYap4vPsuzEIQ7mpXM0P4P0Al0QySk+TWHpGazWswjbWaRzfMmEHInJ3ICQoIYkRLUnpcFInu92C70/1s/XqKieSEhoQsWmlSKEhkDVv4WGJlQEGkKo2EpPYZO3ctTUA6fDePl7C9DI4vkj0GazoapqhSnjkJAQ1q9f73F7QhM0yCzl+SnrdMFFkvQYj5JEQpdY7rq2/hMYqjaNgpz6dzoxBBY/UJNtwb333suqVas4efIk4eHh9OnThxdffJG2bdu63YckSfbcML7H8daecN1dHu1XeGI32acykSR9/lyPuVHJR7a/1ckSv/6WQWJ8OEmJkWVGoxJlRqaS/vaXV2hm7wkoVGL8cch1giMQla/o2bMn77//PikpKaSlpfHMM89w+eWXs3PnTtLT07FYLERHR7vsEx8fT3p6eq36O3siHyHg0p7xzhgqkgySLNvX7fFWZJmgMBONL27kg6N0RWkQQ1BuGnn/vpuMmGS6//Kdz/uoDllWkDwQbBVnBFv/eP9UFwyxQ4cOFbRvS5YsYdSoUT4XVvbkpHPTt6PRbGdpKARPHLO5VpDDMZljCLHE0ii8BTHBl9AoNI6m4fG0CE+gVUQ8bSIbE2qu3J5kx5gdHo9p5PLHOJy9h2P9u9TmkKokIiKC3r1789xzz9GuXTvi4+P5+OOP2bBhQwXtrDv06NeMraYTKAKEarcT0gSm40Wkp56GOhBYNFXDVqphCSkTCYoLrOzfmsnB7Zmc2JuNpgrCouvXQNkQWNxEIDx62FRnW9C9e3dGjx5NUlISWVlZTJ06lUGDBnHo0CG3bSX8GQKsqrf2mug14U2P+7rczXon9x1j73/3gXIen7ISPtXiDB061LncuXNnevbsSfPmzVm0aBEhISE+66c8sgSXjK1ZUzB16lSeGVS10J6ens7EiRNZuXIleXl5pKSk8OSTT3LjjTdW227H/07izNbrOP7Gu8gHdtb+QGqJJCtIHmhYHAKLrQ7CDNQUDHHr1q2kpqby9ttv+7zvfbnpCGsmEtC+xb/o1qAJyREJtI5sTJvIBMLMdR9IrshWiEkJrbliLfjwww+54447aNKkCYqi0K1bN2655Ra2bt3qcVtXX9yYqy+uaJfz/EsbETb/nTd5WcXsWH2czMO5ZBzOxVaq0ebSeLoPbUH6wRx++Xw/pcUqia2i6HNjKxq3jCIuKcJv43GH8/juX7d4+pipyrYAcAlG1qJFC55//nm6dOnC4cOHadnSvWiHklQ2d+xLqntrj4io35MVzn+3T38+t6Kjo2nTpg379+/n6quvprS0lOzsbBctS0ZGRpXnZU0ID20DqxPab7vtNrKzs1m6dCkNGzZk4cKFjBo1ii1btnDxxRdX2aYpOIj4y7pwckEs7PN/FuVzkU0mjwQWUx3kCHI3GOLcuXNp164dffr43uvvmmZdmRKcTIPQJD694gGft18bim0FWEz+EdxbtmzJmjVrKCgoIDc3l8aNG3PzzTdz0UUX+awPYdOQTP7xtDvyxxlWzv0DJGjSugGXjrgISYJtK46w91fdHqptrwR6Xd+SsKjAiVpsCCwe4MnN2l0tRUFBAfPmzSM5OZlmzZp5NBaPQvy7SXVv7XfeWTEgmoFnCD8m0svPz+fAgQPceuutdO/eHbPZzA8//ODUWuzZs4ejR49WmYqgRjx86FYntP/yyy/MmjWLSy+9FICnnnqK1157ja1bt1YrsDjQvXXqXmCRLBYUm/u/w6miU0AY+7L3A139MiZ3giEWFRWxcOFCpkyZ4pcxgD10ghI4sapKbEWEBDX0ax9hYWGEhYVx9uxZVqxYwUsvveSzto8EbSTT9Dt3vP8hJtmMSTLpH1n/KJKif8uKc/nq9ldySZvOVbYphGDvpnR+/HA3zdrHMPD29gSHldmate+byMl92UTEBBPbpH6D6VWGIbC4iwf3ane0FP/73/947LHHKCgoICUlhZUrV2KxuD8/6C8voXMp/9Zevzgi+NbvKLxBSPg08++jjz7KiBEjaN68OSdPnuQ///kPiqJwyy23EBUVxZ133smECROIiYkhMjKShx56iN69e/vEQ8gdqhPa+/Tpw6effsrw4cOJjo5m0aJFFBcX079/f/caNykeeev4CslsxqS6/z8MN4fZv/13868pGCLA4sWLKSws5LbbbvPbOFS1mGA/aTRqg1UtJMYU5pe2V6xYgRCClJQU9u/fz8SJE2nbti1jx471WR+7Gq7DpmaiWhNQsWHDhooNDRUNFVVS0dDQ7N8lpkLWrP+BVy2vIMu6p5QiSyiyCVmW0ayC379N5+i2bNr2SqD/rW0r5OOyBJto0cm/Qp43GAKLm3jymHFHSzF69Giuvvpq0tLSeOWVVxg1ahQ///yz28HKnJk//Uz5t3YD71AlCay+e8geP36cW265hTNnzhAXF0ffvn3ZuHEjcXFxALz22mvIssyNN97oEjiutniiYKlJaF+0aBE333wzsbGxmEwmQkNDWbJkidtGi7LJVD8aFrMZxYNuoyxRQA6xIfpDIC8vj4wTaSQmNSM01D8P9/LBEB3MnTuXa6+91nlu+KffYkICSGBR1SJCzf4RWHJycpg8eTLHjx8nJiaGG2+8kWnTpnkUGbsmioKsNIm+gm+GvOBW/Zvn3s4u01ZuXlO1HVioHMG8Oz6l/aXua/MDCUNgcROBrtWoDZVpKaKiooiKiqJ169b06tWLBg0asGTJEm655Ra32pTwT/6J6t7aDbxDlSQkHxrRffLJJ9VuDw4O5u233/apkaW7l0BNQvuUKVPIzs5m1apVNGzYkC+//JJRo0axbt06OnXqVPM4TCbQ6sGGxWzBVEm3JYX5nDq2l6wT+8k9eYSitBNYMzMoyjzLK9kRxOeeZXP2WcKLdLf8FSOu4/qXp3s9nuqCITrYv38/a9eu5bvv/OtRJbSSgBJYNK2Iw1mp/G3Vs5hkExbFglk2E2IKZmKnv9E8PLbWbY8aNYpRo0bVXNELVK2UYJP7U2wzr3uR3w/tQtUEqlDRNK3ct0Z26VneOv4K9xy8heVdlxNuCbwpn5owBBY30UTtxYOatBR6zBJR4a2oOmQJv7g11/TWXl/4M/dNXSFMEpK17h+yvsIbu9HyQvuBAwd466232LlzJx066B5HXbp0Yd26dbz99tvMnj272rbUUiuqJmESKrasLOSgIJAkpweWcAT+0TRQVeeysH+wf4SmudRzJmYUmn3qTt+mFhRgPXSY0qNHifk5FUXAt3cMQcnKJTi7kLCcUsKL9L7NQCxQqkBupIISHUJRg3CyW3enKL4xIfGNCH5nls+mBqsLhujgvffeo2nTpgwaNMgnfVaJKCHEgwesv0mMuZSM3N3szVyPEFYQNoSwImkFhCrBvHTpmPoeIgAPbniH/Wf32QPfOYIJymi2sx4JLI1j42kcW33ajUPr/uTbg99y1/d38d7g9wg1+8eLyl8YAoub6IHj3KM6LcXBgwf59NNPGTRoEHFxcRw/fpwZM2YQEhLCsGHD3B6Pv4LY1fTWbuAFZgWpxFZzvUDFC4mlvNBeWKhrGc6NMKooCloNdim7PvyBn9YLGqcV0E4tZV+fy2o9ptoQDNgUMB8/RWlsOHlNW1AY15Dc+MaEN25GVJNk4pLa0KBhsyojqK57ZxaSj+KgVBcM0cELL7zACy+4N61QW6yaiiRKCAugB+CKYa9WKMsuLebyj3sQbAqcbNKr972LpERgMkUBmj13k0CxxHNZgu/SeADMuHwGt3e4nduX386ENRN486o3Mct+CPDoJ7wSWGbMmMHkyZN5+OGHmTlzJmBPuPbvf3uUcO32229n/vz5LmWDBw9m+fLl3gzPp+hTQu7VrU5LYbVaWbduHTNnzuTs2bPEx8fTr18/fvnlFxo1cj/QVl0Z3foLIQQfzX6bnNw8HBZCwhECF0ciNlA1lRKrlVJNQo038efBFCy/RhIaHkJYeAjhkaGEhYegmAI/2RpBCnJhPWQY9hUeyCvVCe3R0dG0atWKe++9l1deeYXY2Fi+/PJLVq5cyTfffFNtu7knspFEJM2v6oTSZSwR5mKEPYmd5LhAHS7/etx1HBmuJVm2RxG1ByW0r0uS7IwwKjnqy5JzPzkkGHNSc4JatcKcpAsiNU9aVU1IYSFyAIQI8CU5pXo6hjAPp4RatGjBkSNHKpTff//9vP3227WO11MVZ0ryAYj0k22Lp6h2QW9w64d4pY40Pm1j2jLzypnc/f3d9P24LytuXEF0cHSd9O0ttRZYNm/ezDvvvEPnzq4uVLVNuDZkyBDmzZvnXA8KChzfb9A1uO6KB9VpKRITE30yl3y+z5AU5eexP+M0JtWKyX4w+lfZgUkSSJJMaHAI0ZYg0vLyOZi1m4Pf7a627RApCkU2YzaZMZssWMxBWIIsBAUFERwcRHBIMCEhIYSGBxMapgs94RGhhEeHYbH4721DClKQ/ejW7G88icNS09Tid999x6RJkxgxYgT5+fm0atWK+fPn16hl1DPbKlj/3EGbd/znousvNFUlpLgI5QITWLJKCwAI91DDsnnzZlS1bJp0586dXH311dx0001A7eP1VMWevGwAikVgaBXO2gU9T383b+nVuBcfDv2QW5fdyuJ9i7mrk2dRzeuLWgks+fn5jB49mnfffdcl0ZM3CdeCgoJqHdCqLhCIgMolZA+bWt+DqDUO1X+Pi7sy+Iab3NonP7eQ7NO5FBQUUZhXRGFRMUUFRRQXlZCdm8X+E3+QENUcSciUWkux2qyUFOWiFthQhRXN7hLozCZXGUJGxoSCCUU2Y5J1ocds1gWf4KAggoKDCQ4OIjQshNCwEBKbNaJ565oztMpm2aOw7oGGbiPi3jVQ09Ri69at+fzzzz0eQ3RSDByFrdJl1I1ztm8pKihEFgJLxPln8FgdZ0t0gSXCwwfvubZxM2bMoGXLllxxxRWA9/F6zuVksa5hCQoQ4+Asu8bH09/NF3Rt1JXBLQaz6siqC1tgeeCBBxg+fDgDBw50EVi8Sbi2evVqGjVqRIMGDbjqqqt4/vnniY2t3Iq7pKTExUA1Nze3NofhEYLA0mpIknR+xyRxahrc/1HDI0MJj6zuwv5bjW1omkZJsZW8nAIKcgspyCuioKCQooJiigqLKCoqpri4mJKSEkpLS+yCTyklhUXYNKtT8BGS/lYYmZNDp993cEpuqBtrCg3JYbQp7Aae9rIgm4okBHt646yL3fBTCLsBqKNcOMrtxp/ltwOx9z5Go4fr1tU8P99KST1riNr98ypO/PExRzMCxwbBE/KyswEIusA0LIcL9Xuwldr/X0pLS1mwYAETJkxwGtl7Ha/nHCIlffqwc1SDWo/TlzgElihL/UxRXZpwKSsOr+D3U7/TOa7qgHOBgscCyyeffMK2bdvYvHlzhW21Tbg2ZMgQbrjhBpKTkzlw4ABPPPEEQ4cOZcOGDZXm1pk+fXqF5IL+xiYE5kCSWM5zHCH269r7R5ZlQkKDCAkNgsa1T6Ros6kU5Bay/amnaZieTnFyE5BkkGWELNvtJGSEouiJKmUZmw2CzArmELNuKyHLSLKi21IojnXZuQ1ZsS9LdnsLGUmRyf70XUoOV5z39zWqTaMws5D8jEIKMos4eCzf7326Q2GBRrBU7JO2KrPDmzNnDgsXLmTbtm3k5eVx9uzZCve02pKfoz/YgyIjfdJeoHC0MA8AIdd+Kv/LL78kOzub22+/3Vnmbbyec8mx6gbf9SUgnMtZ+1RaZD2NZ1DzQTy38TlGfzeabbduC3gDXI8ElmPHjvHwww+zcuVKtwOcucPf//5353KnTp3o3LkzLVu2ZPXq1QwYMKBC/cmTJzNhwgTnem5urkdh7WuDVQssgaUmb4pzKS7K5tcfH0PVCvW3eexv8IhqloV9WdOXca2jK0fEOR/sUy6VlNsRQLENwsO7+TT4XWUPn/79+7NmzRqXevfee2+NrrM1YTIpRMVEEFRwlqLYWHp8M7/mnXxEzufz7cah/mHHx7vZtC6tUm1KdFj9OxYWl0oEm7w3Xq7KDq+wsJAhQ4YwZMgQJk+e7HU/Lm3n5GIGQqMuLIGlgaJ7v3WLqv1LwNy5cxk6dCiJiYnOMm/j9ZxLnlUXEKIDxJspt1QXoKIt9TOe6OBopvWdxpPrn+S+Vffx+pWvExYgBsmV4dHdZ+vWrWRmZtKtWzdnmaqqrF27lrfeeosVK1b4JOHaRRddRMOGDdm/f3+lAktQUFCdG+WqApQAElg8c7SGo3u+xxryA5pNxlYUrO/rTEbkWC637vhIDssdybWedE7dCm3JlbRZRliDw0TlpNPhYt+47VX18AG4++67efbZZ53roaE+vDlkZqJWMXXpN4Sma2b8xLFdWSgy9O6ZQFhMMGFxIYQnhBIeH4YpJAAEFpuZuDDvBJaq7PAAHnnkEUCfpvY1Rbm6wBIeHeXztuuTPLvmokEtH7xHjhxh1apVfPHFF84yb+P1VEa+VTdyjQmqfxuixYd/ZcHuhYDnv5uvPHQBrm15LY3DGnP/qvv5cNeH/KvLv2p1PHWBR3efAQMGsGPHDpeysWPH0rZtWx5//HGaNWvmk4Rrx48f58yZMzRuXDHldn1hEwJTIMkrHiLsGpmOKR/QuHktk9/5kBXft6NN69Y0ad7C67aqe/iALqD4y6DbnJWF1s1z4z+vEEKfQvIThUU2YhoE021MxYy/gUAJQQSHlnrVRlV2eP6mOCeHSGD32bOcRRBqMRNqCSLUYiEs2EKQyVxl/JZAJs8pCNTu7XzevHk0atSI4cOHO8u8iddTFQX2cdZWsPIlU9c9hKQVoimxtIxwP6SFrz10AS6Jv4SY/2fvvOOkqO///5y6/SpHOTqCoChgRbFEo6JosH4lKjFGjRpjxWiEqLHEgolREjVYfgbxqwRLRI0NUSKgggqCigrIAdIPrt+2qZ/fH3N3cHBl7273il+ej8fc7s7Mznx2b2fmPe/yevvzqDAqWvox2pUWGSyRSISDDjqo3rxQKER+fn7d/FQarg0bNowHHniAc845h2g0yt133815551Hz549KSoq4ve//z2DBw/m1FNPTcNHTA8uotXS/J0Bw97gPVpbO3YgdUh1eSxtpbmLzwsvvMDzzz9Pz549GT9+PHfccUdavCy2ZeGvrsbOcDhyT4RwEcgIITKSA5QwHLK7d/wJvTFsSccXab2Htak8vEwTW1+EK0lcWu5CRfneKwgX1XFQXAdD98LummWiuA6K66IKF9V1UISL5goUXDQhUBFoCDTY9SiBJkk1jzKaLHmvFRlNltFlGVWW0KSax5rnmixTsWkD2Xl55OR1Q1dkNFnBpyroioKmKKgqJLUEPl1HQrCpehPQOkPAdV1mzJjBJZdcgqruuiQNGzas1Xo9jRGzYgg0NKVjPYWW6yC5cU4adhP3H34JwRRvQDJRoQvw8pqX2Rrbyin9T2lyvY4m7f+1VBqurV69msrKSsCzlr/66itmzpxJRUUFhYWFjB07lj/96U+dToulU5krLYsIIeOdSBS5c0hne8Uvbe+r09zF56KLLqJ///4UFhby1Vdfceutt7J69ep6rufWUrF+PYrroqfBS9QShOtirq1k45RFRIGE7E2WIuHWTEKRQZOQVAVJk5F1BVX3HmVdQdFlFF1B1VUUn4KmK+h+Bd2vkrAF4ZzOdezVYlTHcRWdQE7rylIzlYeXKr3LS7AVmf/t4Sdh2SRsi4TtkLBtkrZN0nVJCoek61IRrSRLVQjIMpYQGMLFFAJTCCwhMAFLCCzAFGAjYUgQQ8ZCwkbGrnuUcYWEI8k4royLjCNkXKHgKgo4eFMtBUO8x0rB3gshWDmHUOUex5AcRm+FIfD++++zceNGLrvssnrzNU1rtV5PY8TtBJLsI24Y+LX63qyKaAxFU/GpGposZbQgoMKs9fSEUjZWIDMVuluiW/jr0r9y3pDzOKxHepV1002bDZY947ypNFwTu2lRBAKBeo26OitdWD4DAFX29A40rfVJceml7SeDVC4+V155Zd3zgw8+mF69enHSSSdRVFTEfvvt16b9V6xZA0D2kNZVLLQWC5c1eTrhEXmIpA1JB8lwkCwXyXHRbYFkOSgxgeKaaAI0F3S8ydfEd+8IgSWgquNTVRoktrkEgGB+60IPzeXhGYbRYGViunCrq0BROGX4ARnbR0sQrovj2Ji2g+U4GI6DZdtUlJXiKiqoWs28mmWOg+k4TP9mOaWBLC457n5cAbaAg3Ka1yJqiLFjx9a7JuxOa/V6GsP84TtCsQTTf+mlLNiKiqOo+MxdVWcCCVtRcBQVV1FxVBVX1XAVFVHzXNS8LzvgR1Y1ZE1DVjUUzXuuahqK5uk3qbqGqukoqoaua4hEjB0lP4AEO7Z8wUI5yxO3VHV01Y+u6vh0P5FgNnlZu0JFmajQBZi9ajZ+1c/Nh9/chm+2feikp6XOR1u6NXcFmpPIrkUIwemnn867777LnDlzOPvss1u5x7aHhFpz8Rk9ejTgdbBtq8ESW78eHcgdOrRN22kpknBRekc4+aKDml95D2zHxbAcjISNkbQxkzamYWMlHaykzebN1fD+NpZ9U8Lyuz5G0iQUVUbRZBRNQdNl9BqPTDCkcupJA4mE208TJbatDIBQ95xWvb+5PLxMGisAbjSG0DpP6agky6iyjrrHkHo3k0g++1MQtspv9v9JBkeXfrKcGJrQyJt4JZZlYZkmtmXhWCZmIk6v/gOxLRPHtLxH28IxTRzLwrUtXMubypJJVNsmFo0iOTaSbSHZNrJjI9sWSs1zxbHRnL37h5mqC2NhYelbLCx9q8GxSgKeOuJvHDX8pxn1DFab1fQK9eoS3Zv3GSwp4nayzj0tvdSLmioeqRHvY3MS2bVMmzYtfa7SNoaEWnPxWbFiBUBaErqTGzeCz4ee3b4VH7IQ0MoqIVWRURWZkL/hi+agqMlXX5UgEg5ulYnkgnAErqCmbb13Ny0jUQ28kXSY+PP2S86N7fBCyaFerRP+SiUPb/v27Wzfvp21a9cC8PXXXxOJROjXrx95eW3zUIpYDOHrmqJ3u5MUBr42iMR1FJZjEJB1Lj3zzHbZnxACw3UxLYuEYWKYBrHKSipLd/KTLA3FrcayTUzbE6g0HRPLMVmz7VteSLxNVcL7vWeyQjdqdQ59pVTYZ7CkSEv6qLQXUms8FI28pTmJbPAu9n/9619ZunRpmy/4ngHVNg9LcxefoqIiZs2axemnn05+fj5fffUVkyZN4vjjj2+w/LmlONu2YaZJUKwlKMKtaeqXfiJhnSn3HNfkOkIIin6oZO7ULwiF2tdbEC+NAgHCfQqaXbe1PPHEE/WEKY8//njAS2LcXdSsNYh4HOFPf37QwoUL+ctf/sKyZcvYtm3bXt7PdDeYTQqTLLnz6nU0RtxNtquhJUkSfkXBryhk1XpGCgqgGeG7Bcvf5oWv3ibs9xSRM1GhWxwrZsY3M5i7YS69Qp2nIrcpul79XAfRwhzXjNNiD0uNCFhjHpbdqZXIvuyyy+q8KfF4nIsuuojHH3+8zSXCO3euRdfjuO7ertJ0ous677//PmPHjmXYsGH87ne/47zzzuM///lPWrYv7dyJW9D8hXPAgAFIkrTXdM011wCe3sQ555xDQUEBWVlZTJgwgeLi4ga3VVueToZDF00hSRIlZV7SYLdu7VtNlKhMojhJtHD69vvhhx/WaVkA3HXXXYiatgi7T201VgCkZBIC6e9jE4vFGDlyZJO5g6eddhrbtm2rm/71r3+1en+GMAl0kgT+lpB0DfxS6gbL9OnTGTFiBFlZWWRlZXH00Ufzzjvv1C2/6qqr2G+//QgEAhQUFHDWWWexalXTzVlTIWZ4ysHhgOe9rb05233a/eYsOzu7rkL3v//9L8uWLePSSy/dq0J3d25acBMvfPcC+2XvxzOnPtPmMbcH+zwsKdLZegnVGiyVpRtYvOhsUExPz43dFGhrHiUJFJ9nHKSikNqQRPakSZMYM2YMZ511VpvHHottA6B79/S3r9s9Cbxv3757qdymE628HIbs3+x6TYXbYrEYY8eOZeTIkcyfPx/w1D3Hjx/PkiVL9tbkqN1OB2t17NzpaWT07Nm+d9mJahO97cVlHYaUNJF6pN9gGTduHOPGjWtynXQ2mE1IJmV2Bd+uX45f9+PXg/j0AP6aSengsuHGMIRJrpy6ynCfPn2YOnUqQ4YMQQjBzJkzOeuss1i+fDnDhw/nsMMOY+LEifTr14+ysjLuuusuxo4dy/r169uUD/WPFf+AAOSGUxelTKVCd3cuPvBibllwC+sq1/Hsyme57ajbkFO5o+1AOuevqhPS2TwstZTv+A4tqxq3cjia1g1JyNSqz0q1irOShJSQ0AM55HdvvmxtT4nsN954g/nz57N8+fK0jFmu6Vfh83WOBmStwUwm8UdjuClosDQVbps3bx4bNmxg+fLlZNX0l5k5cya5ubnMnz+/Xpki7KqwS1ce0QMPPMCrr77KqlWrCAQCjBkzhgcffJChuyUSN6SgecLJ1yMDhT3a2WCJO/iktonGdSSyaSJCHZPc2JIGs82hIPO9v5ifL/xlg8slFxQhobgyF3U7k5vOvqfB9dobAxN/C/odjR8/vt7r++67j+nTp7NkyRKGDx9erwpxwIAB3HvvvYwcOZINGza0Kak/KVn0jIbp22NQo+u0pkJ3d04bcBrH9z6eGd/M4Ikvn+DMwWcysmBkq8fcHuwzWFIk4Tg8un49W0uXIEsgIdWaBUiSZyLUVhHVPt+1rGZdyUtWrBWs35RM4gqvT48Q7OrYIwRuTYaK99yb74pdnXne0LyD4fJtO/kDENnvfzhqRMMnj5bQkET2/PnzKSoq2qtk7rzzzuO4445rsYR5rcHiOF33wlO+bh2K6xIYOKBF79uzI61hGEiSVE9zyO/3I8syH3300V4GS12jAzk9BsuCBQu45pprOOKII7Btmz/84Q+MHTuWb7/9llDIM0YaUtCc9tcbuOnkh5l+00IcGVxZwlVAKBKoMpIqIakysiaj6DKapqD6ZDSfgu5T8fkVfD6VQEAlENDIsarona2jRwJoWUF82WEU3975MYYBPtXZa35XQbEsRKT9DZaWNphtjhnjn2P1lpWYVhLTNjFsA7NmMhwD0zaxHZN/l89lfeWG9H+gVmJINkG1dR4ux3F4+eWXicViDeaFxGIxZsyYwcCBA9vc2y4pWRwRbnkVYEsJakH6RfoBdIk8ln0GS4ocxLcUOQOYVZ6DQMKtMTs8A6L+89oJvOTSmnviXe/Zw+1WQBmS5L1Lrllb3m0rMqJmOXXrFEolbBXd8GEAYOlGWj5nQxLZkydP5te//nW99Q4++GAeeeSRve5AUkFVvRhypnNYMknlmu8ByGph19g9w21HHXUUoVCIW2+9lfvvvx8hBJMnT8ZxHLZt27b3BmpCQVIrpcn3ZM+ky2effZbu3buzbNkyjj/++CYVNDdfsIW+vYdjGQ626eBYLm7NJGyBSNpehZEjcF2vvYXtgoVELIWxSa6N4loowkLBRsEhLufRO1CWls/e3gghUBwHEWn/xoctbTDbHAMLhzKwsPly/jeenEeokzQaBDBlm4DSMoPl66+/5uijjyaZTBIOh5kzZw4HHrirMu4f//gHv//974nFYgwdOpR58+ah621L7DVki3A7dXD+cueX9An3oXsw9fYAHcU+gyVFbpP/zMCB19K/3xWt3obnzhe7vXYBuU29QzZt/oo1a+CAbkNavY1aGpPI7tmzZ4Ox7379+jFw4MAW70dWtJr9tb3jbkcR37AeH5AzpGXf+57htoKCAl5++WWuvvpq/v73vyPLMhdeeCGHHnpow7+LWoOlrR+gEWoVqGvLd5tS0OyeX8Jvrz60we00hW27ROMW0ZhJNGaxZuEyekz/K87Ey8nt3g07YWLGLWzDwkp6xpBlOtimwLbLOOjUtv/WOwKrqgpZgNrOZfAN0VyD2XRhyg6BTmSwWLJDsIXdiIcOHcqKFSuorKzklVde4ZJLLmHBggV1RsvEiRM55ZRT2LZtGw899BATJkzg448/brVeihACU3GI6JFWvb+lHNr9UF5c/SJf7/yagwta3gG7PdlnsKSIEA6S1Lavy8s7kHZ73fYEJ0ny3LmuaPvFvzGJ7HTj2J43qCsbLMbmzeD3o0VSP6k0FG4DT+mzqKiIkpISVFUlJyeHnj17MmhQA/Hr2rBjGtoa7Inrutx4440cc8wx9TRJWqug2RiqKpOT5SMnywuDlSyqJKv6B3LPOYae/Qvb9Bk6M8mdOwDQcjs+d6s9GswKIbAUl1ALDYRMUTeeFnoudF1ncI0n9bDDDuPzzz/nb3/7G08++SQA2dnZZGdnM2TIEI466ihyc3OZM2cOF154YavGmTDjuDJEfO3jiTt1wKk8s/IZ/vz5n/nf0/+3XfbZWvYZLCkihIXcgnK49kKiJs6fhgtYUxLZe5Lqeg2xfMVv8Pm6tsHibN2G2cILT0Phtt3p1q0b4OUM7dixgzMbELeSJC+0KGWgV8Q111zDypUr+eijj9K+7aZI7NiJg0Rer8xpq3QGkiWlAOgZMFii0Wid0B3A+vXrWbFiBXl5eeTl5XVIg9mkEcdVvDyJzkDSjCMkCLYx1OK6LobRcAi+tgS+seWpUFrpGbZZgZxWb6MlKLLCWfudxV+W/oW4Fe80/6+G2GewpIAQLkLYdcminYlaL40QXScfRNO8fjADBnTuzqBNIZfsRNQYGKnQWLgNduWEFBQUsHjxYm644QYmTZpUr1KnFiEEQkq/wXLttdfy5ptvsnDhQvr06VM3v2fPnq1W0EwVq6SEan8YXe98x1c6MUp3AqC3US23IZYuXcqJJ55Y9/qmm24C4JJLLmH69Okd0mC2Ol6jStxOuRi1fP7dQq5fdCOOJJCRkEVNAQQS+FpmsEyZMoVx48bRr18/qqurmTVrFh9++CFz585l3bp1vPjii4wdO5aCggI2b97M1KlTCQQCrW7OCFAR9QzbnGD7eOKqzWr+/f2/ObzH4Z3aWIF9BktKiJpwiyR1vhOqJNeGhLqGwWLbBpIk8Pt+TW5un+bf0EnRyitwhw5Lef2mwm2rV69mypQplJWVMWDAAG677TYmTZrU6LYE6QsJCSG47rrrmDNnDh9++OFeOUmHHXZYixU0W4pTWkY02P6JqO2NWV4OgC8/dUM3VU444YQmvZ4d0WC2Mu593rCvfXIxavlm0wqiPotxytEokowjXBzh4LoOiqwy7rDzUt7Wjh07+OUvf8m2bdvIzs5mxIgRzJ07l1NOOYWtW7eyaNEipk2bRnl5OT169OD444/nk08+oXv31iewltcYLNntZLBMWzaN7bHtPHLCI+2yv7awz2BJgdrQRaf0sNSEhIToGqWe5eXrkSRBONyvo4fSaqxkEn80it03dYOrqXDb1KlTmTp1akrbkSQJIUl1ysVt5ZprrmHWrFm8/vrrRCKRuryU7OxsAoFAPQXNvLw8srKyuO6665pU0Gwp/pjDAH9Pyl78EDmgIQV8KGE/ctCPHA6gRIIo4SBSQE9fH6sOwK4xWPxtuJh1JSpiXjVXVqB9c3ZqVWL/NOHv+PS2qfE+80zjCrCFhYW8/fbbbdp+Q1TWfG8tEY1rLa5web3odX598K8ZlNO45ktnYZ/BkgJ1HpbOaLDUeFi6Skho3dY1AMyd+zmz52zAkRSErIKiIStei3ZV09F1HV334fPpBPx+gkE/4YCfcDBAdjhAVihITiRAXiSErrXvz7iiaB2yEAT7D2jX/dbiIuE66TFQp0+fDnh36Luze9+clipotpRePY4lMLAX8eXgqRElaqb6COGCa4FrexMOks8LrwhrG5IiQBFIiuTpwOgykqYg+RRkn4YcUJH8GnLQjxIJEBozHLkdfztmRQUq4G9BKLErU3vhzQ61r8ESN2NILm02VjqKykQFALmRzP9OKo1KDMdgQNaAjO8rHewzWFKgzsPSCZNu5ZowlegimiYVpnfS1nofS66lYBgmlmnUtXK3jQR2vArDtZGFjSIcNKnp8IcjJBxJwZVUhKyA6uPin5/HQYN6Z+QzVK6t0WAZ0jINlnQhJBnHSV9IqDlaqqDZUhKRnmzNkfnJ+YNwY0ncaAInlsRNmIiEgZswcZMWwrARSRvXshGWizBdhF2bD2IhLBlMGVcoICkgad5NhqwhKbvfbFiARfK7uRT8puEE6EzgVFaCLKNone88kgmq4hUA5ITSn7PTFHErjuZ2bon5pqiqNViyMpeELoRgybYlPLbiMTRZ46BumRepSwf7DJYUqDVYOqOHpTZM1VU8LB9+9w3H9PRxw4XnIaeo1mpaNhWxBOXVcSqrE1TFE1THEsQSCeIJg3gyiWEYGIZJrLKUQHwHr839kI0jDyY7HCA3K0xeVjBt3pjYunXoQO7+zfcRygSuLJNYs4b3/vlvZElClmVkCe9RkdBUjRHjjiMQ7hzlpM0RcmFndgDfgMyV2LpJE6c6jlMVxymtpPzVEowNNiUz5iL7NaSAjhz0oQR9SEE/SjiAHPIjhwKeF0ZXkVSlTSEpNxoFreOaVrY3VQkv6TY3q309Sp7B0nW/52qjCsWRCPgzc/yuLlvN3Yvv5uuSrzkg7wCePOVJ+kS6Rj7hPoMlBYTwJOTlTph0S82YukrSbWGkmrJkbsrGCoCuqXTPidA9p/nkvXVbdzLjyX9A8fd89t73ey23hIItqbg1YShJ0VE0HVXX0X0+/H4/Qb+fUChAJBgkOxIkNxwiLztEt+wI4YCOsWkzbiCAHu6YnjDVkTyGL/8Qln/Y6DqfrPktJ912XbuNqbW4tkuWkFAjmfU6yH4d2a+jFeTg9sqj9F/fI/vySK6uXUMAyZqpssFtCNepCUk5nkdTOF5oSjh1sgKiptloHdKuxzwxBmf00Xx9xxyG3HwK/uyO+f20F9XJKgCy29nDYrgGmui6BkulUYnuZGb81WY1V827irxAHtNPns4xhcd0qbywfQZLCrQ26XbhwoX85S9/YdmyZWzbto05c+Zw9tln1y2PRqNMnjyZ1157jdLSUgYOHMj111/Pb37zm5T3IdeK2XURgyXXV47tpM/V2dB3/Ic//IGdFdWUV8cpq6rmib8/zNw35hCPVTNgyAGMv/AyIjl5WKaBY5k4RgwnXoHpWiSFTVQ4jXbmdoTE6O++Y79Egrk/OR07EMIJhhChMFIoTL9zzmDUqcel7fM1xHEfvIlVWYXtuLhC4NQ9ChxXsPF/zsOqqs7oGNJFVYWXq+LPzlx57Z7IQT/9HjkT13Zwo3HcaAK3Ou6FoWIGbjyJGzdxkwbCsBCOAAeE64JdE0ZzQLgSOBpCaDWNwLxmX0KImsZfov5zw0Eij1wrQmzLzh+dwVL+5TwcI46s+ZA1P9Xl61EcierKdahaEE31o2khVNWPlMFuzknHQHe77qXtP+YiyJD9/sSXTxC348w+aTY9Q+mRJWhPuu5/tR1pbVlzLBZj5MiRXHbZZZx77rl7Lb/pppuYP38+zz//PAMGDOC9997jt7/9LYWFhQ2KhjWELHuJZY6bnl5CmUalBEMakLbtNfQdB3wa/Xrk0a9HHg8++CBzX3uZmTNnMnDgQO644w7mPDONb7/9tlHpbNd1qYomKKmKUlYVo6I6RmU0QTQWJxZPsMWfh9NrLZJpIUWjqLEoasl2+u74AT58HVZ9l7bP1xBKIIASaLwfSpGi47RBuKo9qdiZQAWCOe1nsNQiqwpyTgRS8Nyli6LXPoYlLv68H1cZd8XX/yV3zv/Um9c7K4KTn8sJb0/Ya31VCDQhvHw2AWpNvaOG5D2XJDRkVElGQ0aTZFRJQZNkNElBlVU0SUGTVe+5rKLJGqqsscFejy667qWtl5vHNjn9/bKEEPyn6D9cMOyCLmmswD6DJSV2eVhaZvaOGzeOcePGNbr8k08+4ZJLLqmr0Ljyyit58skn+eyzz1I2WFTVu0tznb2rKlLBU2Z0AAfXtTFtG8M2sWwL07boltUDfxqz7QNKCQk5PeWw0PR3LIRg2rRp3H777Zx11lkAPPfcc/To0YPXXnutXkO43ZFlmZysEDlZLYshfzfsAKoKOl5a3lZVXLNrqAhXlcXJA7LzO7dgVbqwo0l86Phzf1wGi1nyAwBbj7gHPb8fwkpyghGjt7wTNejDcgwsx+vgbDkmlmtiOxaWa2K5FrZjY7kWlmtjCRvbtWueO9jCxnIdLOEScy0sDCzbxRYuFi4WAksIbMBCEJMlRpZ33e+3mx3B76Q/aXhz9WbKjXIO7d7y/l+dhX0GSwq4GRKOGzNmDG+88QaXXXYZhYWFfPjhh6xZs4ZHHkldwEdRPIPl67Wz+WLNa7UjRkKgKwaqZGE4fmTJRZIcFMlFllxkHGTJRZGbrjZZDWw2TkKWQyhKCE0No2phfFoEv+5NIX82IX8W4UAWWcFsAnqwwbio65qEtSrico+UP19bWL9+Pdu3b6/XuC87O5vRo0ezePHiRg2W1lLtC7Hz6Mw1kksVR9FwTbOjh5ES8QqDPCAnv2UddLsqTszEFhKKrxPmw7UBtybBNnvkaYT67FJo7t8BY3n1ujNRlK5bJRR3EwTk9Jdkv7j6RTRZ4/Aeh6d92+3FPoMlBYRbk3Sb5iqhRx99lCuvvJI+ffqgqiqyLPP0009z/PHHp7yNdSXV/GvVOQzIqWBAt1yQakSoJRkoJy51Q1IVQPEaJUqK53StfS4pSJLqTSjIioIqa6iKyrYd81GczShsQHUTaG4C3U3id5LIhkCwSzGjZLcxOa6M4fgx3AC268cmiEsACZXCAGha+7gja0XQevSobyC1pXFfY5hJg4gRo6Kg4zU2XFUFq2sYLMkqEwtBz9zMGixTp05lypQp3HDDDUybNq3eMiEEp59+Ou++++5eeWbpxklY2KLrXkwbQ9QYLGok82JnzWHbLj5/1y0dTwiDPDV9Hb1d4fK3L/7GzG9nMumwSYT1rps7tc9gSQE3Q8Jxjz76KEuWLOGNN96gf//+LFy4kGuuuYbCwsJ6XoGmWLN1Pe9vPJFbBsX4xdi9Y8Vt438anOs4LlEjSlW8kmiikniymphRSdKoxrCqMa0oll2NbcdwnRjCjYGIYdsxvikdSqRHx+iXZJKSzcUAhHt2vIqpq6hgdY2QkB01qZJAzeAd8eeff86TTz7JiBEjGlw+bdq0dquUEEkHR+oa/5uW4MQrcAXo4Y7vRG1aDps2Jun+9xuRZRVJ8W7EZEVBUlTkusl7venbzTiiB7KqI8kKsiwj1UyyoiDLCpIseevL3u+01yEHEundHS3gRw/4UXUfspKeyp6kZBJS01fS/Kclf+Lfa/7NzYffzC8P/GXattsR7DNYUkDUCcelz2BJJBL84Q9/YM6cOXXde0eMGMGKFSt46KGHUjZYzj7yZG589S3MdlTmVxSZ7GAW2cEsoG/K73tm0Toefus7Zl7aPnketc35iouL6dVrl8ZHcXExo0aNSuu+SjdtRwWyCtsn3NUUrqKC3TWqxtyYRSyDFajRaJSJEyfy9NNPc++99+61fMWKFfz1r39l6dKl9X4jmWLt5qVs2PkVb/78CSRJqn9hrJtUFNWbPOVnDbnmtaKoKDWvVU1DUXUUTfVK8zUNVddRa8r0VZ8f3e9H0X3oPj+az4fm96P5/ej+AJo/gKppdRfhtiCSVZiuij9NF+220KNHLmWxcj5dsgpXSAgh4QpwaepzriKk53g5fbg1uX2uNyHqPbq4MH/vLUjIqLKGoqioso6iaKiKhqJqqKpeM2mous/7H9X+n3Qfms+H6vOh+n3EZZMN7nY+/uK/+PUAfp8fn+bH7wvUm2qbqG7auoEv1y5D2WET7plLMDuC3xck4AvwUfliXlnzCnePuZtzh+xd+NHV2GewpECth6WlSbdNYVkWlmUh73GyUBQF122ZimlATWDanb+X0PrSGAAHFLZPQtzAgQPp2bMnH3zwQZ2BUlVVxaeffsrVV1+d1n1Vbt1OPpDXtxNk3ysKIk3S/ZlGTjgk1cx5V6655hrOOOMMTj755L0Mlng8zkUXXcTjjz+ets7TzWGIOFmBbuQfMAArmcQyTWzTwDY9pWfXtnFtG9swcB0H13URruOVRwuBJ0yc3k7ddUiSJxsjyUiy5BlUUo1BtZthpcqCntpORvVxPK+CrBCs/B6bzpGXc8p9s2isD7ywbVzbwLXMukfx90OQhk0i8IvbU9p+2XebqNiwGTuZxDIMrKSBbXj/Q6vm0bZqHm1zl4q3aWLEYziOhe1YOG7to40jLJwaaQr9eIkN+nZ+8/X1TY5DFQq60IjLyV0zi/Ze78J+P/9RGCuwz2BJiVoPS0uTbqPRKGvXrq17vX79elasWEFeXh79+vXjJz/5CbfccguBQID+/fuzYMECnnvuOR5++OEW7UeTHQy75VLtd911F3fffXe9eUOHDmXVqlX15qUrxr+l3Ktk6h5JX0JZc9/xjTfeyL333suQIUPqypoLCwvTnqcQK95JPtCtT8cbLBFXpluFyXv3foyjSDiajKtKoMlIqoKsy8iajKIryLqC5lNQfSqaT0H3q3WTP6DiD2gIVSI7oKNnwLDQTAfDlxmDZfbs2XzxxRd8/vnnDS6fNGkSY8aMqasgaw8sy6Rbt36cfeudbd6WcF0cx8E2DSwjiZWseTSS2MkkpmFgG8mai2jNBbXWOLIsb55l4ViWp0dk2zi2hWPZuI6NY9ue0eTYnmaN43U8riqvpAqdw7NWocmOpz+DS2n2KFLNjnjggQd49dVXWbVqFYFAgDFjxvDggw8ydOiuhN2ioiJuvvlmPvroIwzD4LTTTuPRRx/dKyetJUi1nqoaFVnhuqA4GL7U8zryDuhL3gGpe5ZTxbUc7KTBpdEq4hgYRoKkmSRpJDCsJEkriWEZJK0kpp0kaRsYtoHhJBlROIr98gaTxMAQBolknNIF6xGlJqdcdHHax9pR7DNYUqC1wnFLly7lxBNPrHt90003AXDJJZfw7LPPMnv2bKZMmcLEiRMpKyujf//+3HfffS0SjgPPYDFbYbAADB8+nPfff7/uda2bcXfSFeMvrjLQlPTmCjT3Hf/+978nFotx5ZVXUlFRwbHHHsu7777bqAZLazF2lBDTAujBjq92yVdUVNMlCgRNFy3hoLmgugJNgC5AA2Sa/1/U3rttQmAAJgJTAluWsCWwFQlHlnAUCaFICFUGVULSvMaDsq7UGEcyiq6i+pR6hlHQcIlnpf/OfNOmTdxwww3Mmzevwf/1G2+8wfz581m+fHna990UlpXAF0hPCbcky6iyjKpp+EPtl0j51Yy7mffuZ/S8cyXSbpIHLUm3XbBgAddccw1HHHEEtm3zhz/8gbFjx/Ltt98SCoWIxWKMHTuWkSNHMn++F3+54447GD9+PEuWLNnLM91qkgkkSYDe8WX1sqaga0HyIkHSoQ1c/IEPbXgEpZ2bw2aSH88nySCuMAHZq6xpASeccEKTzeV69uzJjBkz2jg6UBW31QaLqqpNusPTGeMvixkE9fT+5Jr7jiVJ4p577uGee+5J6373xC4tJRbsHNoPuqaCLnHi7cc0uo4QAmyBZdgkEzbJhIWRsDGTFqbhYCVtrJrHlT9UkKXKdA/quKaDsATCdpEsF2wXxXHRbIFiusgJB3UP40gH9EaMowgSkpv+hNdly5axY8cODj10l+aE4zgsXLiQxx57jKuvvpqioiJycnLqve+8887juOOO48MPP0z7mABMK4ke6Bo9nhrDiFbjU5x6xkpLeffdd+u9fvbZZ+nevTvLli3j+OOP5+OPP2bDhg0sX76crCzvuJo5cya5ubnMnz8/5Ry/5hDxaiRAylDfno5E2ALZ/+O6xP+4Pk2GEK6V9pLmdKLJLmYru/d+//33FBYW4vf7Ofroo3nggQfo168fkP4Yf3XSJj/c/oqm7YG+rZS8aDnLjhsPkgSShJBkkGSQJe9RkkCumbfbfEmueS7LXjm6XDNJEqhelQOKCorXgA9ZqZsvqSpCSPhciZy8IKgq9o5i1B5N/78kSQJNQtd09LBOU6ZWOmT+HNslmbRIJmwSCRsjbmHGTcIvFdGvZ/qVZk866SS+/vrrevMuvfRShg0bxq233kq3bt246qqr6i0/+OCDeeSRRxg/fnzax1OL5Rj4gh1/N98WkrEofjW9eTSVlV5ZdF6e51swDANJkvD5dp0v/H4/sizz0Ucfpc1gcRNRZEDyZcZg2bJlC7feeivvvPMO8XicwYMHM2PGDA4/PPNaKFphCPOHqozvpz3ZZ7CkgCustIvGpRNNcTGdlp9ARo8ezbPPPsvQoUPZtm0bd999N8cddxwrV64kEomkPcaftF26hbuuPkJTbMk/An9MIre734vpuy6ScMF1a/rJuF6DPFfUPHreCVyv8sBbvvtzb5kkHITrINVMQrh1z6Xa58LBEQ7lwq1rwqeNPKyDv5H6KKpMKOwjtJvBapUkKAb0DMjyRyIRDjrooHrzQqEQ+fn5dfMbMsL79evHwIED0z4eANdxsFwDX6hr380b8TjpdJS6rsuNN97IMcccU/e/OeqoowiFQtx6663cf//9CCGYPHkyjuOwbdu2tO1bxGt6bvnTH1IrLy/nmGOO4cQTT+Sdd96hoKCA77//ntzczJd+u3ELp8KADCa0dwT7DJYU8DwsnfdCq8kupt1yg2V3SfsRI0YwevRo+vfvz0svvURBQUFaY/yO4+K4gh5Z6Vdw7AxURvbnq58dyk2/O7Ld9/2fPy4mEbeY8NDxXoWZaYHeeQ3sWuwSLwlbyf1xet32xKiKAuDroC7f6cJIJPHr6Stfvuaaa1i5ciUfffRR3byCggJefvllrr76av7+978jyzIXXnghhx56aPryVwASXuWiFEj//+TBBx+kb9++9cL+mTKGaxFCEP14K1Xv/QAI8i46IKP7a2/2GSwp4AorrRos6UZTBFYaqlhzcnLYf//9Wbt2LV9//XVaY/w/lMcB6JvXtd3hDWEaDkFb4OvWMcZYPGYRCnm/T1mWwd81DACnzDNY1Lz2+d6a+802lQuVDhLl3t28P9LFPSyGic+XnkvHtddey5tvvsnChQvp06dPvWVjx46lqKiIkpISVFUlJyeHnj17MmjQoLTsG0AkPYOFDOSwvPHGG5x66qmcf/75LFiwgN69e/Pb3/6WK664Iu37qqVq3g9Uz99E6OheZJ3UD+VH5tH+cfmLMoRwzbSr3KYTXRFpEY6LRqMUFRXRq1cvJk+ezFdffcWKFSvqJoBHHnmkVYnCq7d5J+tB3br2yboh1q6vQEKisE/7df3dnbjhEMpApU2mscu9jtJqtx+fEdsQRoV3DPiyO+Z3ki6ShoWvjUaxEIJrr72WOXPmMH/+/CY9D926dSMnJ4f58+ezY8eOlBvDpkTS83pJwfT/T9atW8f06dMZMmQIc+fO5eqrr+b6669n5syZad9XLclvywgclE/uWYN/dMYK7DNYUsIVnTvpVldolYfl5ptvZsGCBWzYsIFPPvmEc845B0VRuPDCC+nZsycHHXRQvQlaH+Nfu8M7Mezfo2ufrBti/YYKAPYbmNPu+3Zdl6QtCOW03EvxwAMPcMQRRxCJROjevTtnn302q1evbnBdIQTjxo1DkiRee+21No7aw6n0DJb/KyGhZGWNhyVNBstdd91VI+62axo2bFjd8qKiIs455xwKCgrIyspiwoQJFBcXt3m/puniD7TNK3bNNdfw/PPPM2vWLCKRCNu3b2f79u0kEru6zs+YMYMlS5ZQVFTE888/z/nnn8+kSZPqabW0GaMmJBRMf0jIdV0OPfRQ7r//fg455BCuvPJKrrjiCp544om076sWfUAW5sZqRCurRjs7+0JCKeC6FpLUeb8qXRVUJFpue27evJkLL7yQ0tJSCgoKOPbYY1myZAkFBQVpH+PGsjgg6J+jIoRot94t7cG2LVFsBPv1zXxZ8+O/8TQpQqqELIEjwAXCrQhHNaeFsTuZ6LfjVJsggdyFO+u2hGS1Z7T7c9L3O2lMRymTOiaGJfC1UW9o+vTpgCdLsDszZszgV7/6FQCrV69mypQplJWVMWDAAG677TYmTZrUpv3uiaj1sITSfyPVq1cvDjzwwHrzDjjgAP7973+nfV+1hI7oSWzJNowfqvDvl5Ox/XQUbboKN9QBNZlM8rvf/Y7Zs2djGAannnoq//jHP5pUJxRCcOedd/L0009TUVHBMcccU+dK6wwI1+zUSbeqLNGKIiFmz57dovXbEuM3t39Hd2zyH+mDKVRiUoAEAZJyAEMOYqohbCWErYUQWhhXDyH5spD8YRR/FmogghbMwhfKwR/KIhDKIZiVTSCYlZZeKG2hYkcCU5fQtMz3UfFrMknLZcCgbBxXIByBqkoM/Emf5t+8B81pYdSSqX47bsz60VUxNEVt0q0/J30Xx8Z0lDKpY5J0ZHxtFKpL5VwydepUpk6d2qb9NIsZRwgVSU//+f2YY47Zy2O5Zs0a+vfvn/Z91SHX3FTs87DUp7EOqJMmTeKtt97i5ZdfJjs7m2uvvZZzzz2Xjz/+uNFt/fnPf+bvf/87M2fOrJNPP/XUU/n222/TrkjaGryy5s5rsMiyjOtmNmGwrfjdGAWKxdJD7sdNRhFGNRjVSGYU2YqiWDF0p5qIuR2fE8fnJgiSICTiKFLjn80VElHJT4IACTmIIQexlCCWGsJWw7haCKGHwRdG8kVQAhHUQDZ6MAs9mEUwnEsgkk0okoMWyPL0TlqIWWEgQu3jgQv7FZKWy7HXj0RV02sg7amFAZntt+MmbGTt/5DBEo0iIaGF06eG3JiOUqZ0TBzTwHZlfKHOIZLYZowYAj+ynH6Pb60sxP3338+ECRP47LPPeOqpp3jqqafSvq9aYku2Ioc1fD9C7wq00mBprANqZWUlzzzzDLNmzeKnP/0p4Ln4DjjgAJYsWcJRR+0tQSWEYNq0adx+++11eh/PPfccPXr04LXXXuOCCy5ozRDTitvJPSyyJCEy1RAtTZTEHHoFXQ4/65oWvU+4LslkjFh1BcloJYloJWasEjNRhZ2owklU4xrVkNxl/MhWDM2OEjQ343Pi+EWcgEgQEgl8ktXk/pLoxKUASckzfkzFmyw1hKOFcLUwrhZG6J4BpAWzCEX7oua0T5faAfvnULJsJ4mSJJGe6UtgbkgLAzLbb0cYLnKk8+aGpRsjHkNT/Gkry21KRylTOiZGxU4AfJEficFixhBSZm6KjzjiCObMmcOUKVO45557GDhwINOmTWPixIkZ2Z9wBcnvygiO6o70I/VctspgaawD6rJly7Asq571PmzYMPr168fixYsbNFjWr1/P9u3b670nOzub0aNHs3jx4gYNFsMwMAyj7nVVVWbV/ITbucuaBQqG3blzQoqTKiNyWp4ZLMky/mAEfzACPXY1HFu4cCF/mfYCy5YtY9u2bXs1ZXz11Vd54oknWLZsNWVlZSxfvpyRI0eSNAyiVRUkopXEoxWYsQqMWBVWjQHkJqsRNZ4fxYqh2jE0O4YvWYoe24TfjRMQcc/7U9Np51NnDpR6xlUmw1NmzGL1V6UA+IPp9eg0pIWR6X47wnZRgp33uEo3RiyOrqQvwbgpHaXLL788IzomxpZvAfCZZW0ef6fAiiOkzPX/+tnPfsbPfvazjG1/d+zSBE6ViX//zAvTdRQtPus11QF1+/bt6Lq+l3ZHjx492L59e4Pbq52/Z45LU+954IEH9uoynElc0bk9LHlBl6jZeccHUGwH6BFOQ+11DbFYjJEjR3LZZZdx7rl7t06PxWIce+yxTJgwoU73QJIk/H4/fn9P6N728IZwHRKxKnLveBe/bmc8l8aKWVRbXmzajNloWem5+DWmhTF//vyM9dtxXU/JV87q3L/bdGImYmha5kLcu+soQWZ0TIzKHQD48grTMuYOx4wj5I5PO0gHUm3yeue+d20TLTrD1nZAfeGFFzo0t2TKlClUVlbWTZs2bcro/txOrsMS0CRst/O6AG3LpsQN0yM7fXob48aN49577+Wcc85pcPnFF1/MH//4x7T1HGkISVYwthRTnuzBwUdlN7nu1KlTkSSJG2+8sW7e9u3bufjii+nZsyehUIhDDz20yQqCUPcg5159MADvPfZlm8ffnBZGurV4dsetqClpzoAsf2fFSMbxZbAr8O46SruTTh2TpOmFnv0DMt8Lp12w4wi54zuspwMlSwcJT5L/R0qLPCzNdUCdO3cupmlSUVFR766suLi40YS92vnFxcX1DrTi4mJGjRrV4Ht8Pl+9ZLJM47ommpbTbvtrKbqqYLvtk0PRGkp2FiOQ6ZH3I4l778bqdz/FJ+cx8LTGDaPGEtR/+ctfUlFRwRtvvEG3bt2YNWsWEyZMYOnSpRxyyCENbit3oPcdxg27zWO/5pprmDVrFq+//nqdFgZ4IdlAIEDPnj0z1m9nx+OewaUV/DguFqlgJOP4fOkzWG6++WbGjx9P//792bp1K3feeWedjhLsyh8sKChg8eLF3HDDDW3WMTGqvFCQLy+9Cdgdhh0H5cfxGxQ1DXDdZNvPDZ2VFt2W13ZA3f2O6/DDD2fixIl1zzVN44MPPqh7z+rVq9m4cSNHH310g9scOHAgPXv2rPeeqqoqPv3000bf096ITi7N71N92K6ccWnx1lJcvBWA7t3Sr+/SkQjHZs3aAPv1KUFtpAPv7gnqezY9++STT7juuus48sgjGTRoELfffjs5OTksW7as0X2qNVU1FVGbWHGsTeOfPn06lZWVnHDCCfTq1atuevHFF9u03VRwkzaSLhM8/Edy4UsBw4yjB9KXKF2rozR06FAmTJhAfn5+PR2l1atXc/bZZ3PAAQdwzz33cNttt/HQQw+1aZ9GdQUg0HMal6noSkhOAqF0faXl5PflFD/yBSjyj7ZCCFroYUmlA+rll1/OTTfdRF5eHllZWVx33XUcffTR9RJuhw0bxgMPPMA555xT5ya/9957GTJkSF1Zc2FhYb0kyo5EuHanDgnpqoTtqp1WjK24pASAHj3Tp+HRGdi+6EOq7W7sf0LjugqNJagDjBkzhhdffJEzzjiDnJwcXnrpJZLJ5F5iWrujBjSOP7EPC/+7mcUzvuXkyUe0evytMXDTZhQ7An1QNvKPtJoBoOz7jbz/6OMAKIpCafVmeg8a1sy7Uqc5HaVM6JgY0Sp8ioOkdY5QXvydd4iv2AmSAkLGrMpGCA1JMgEHSfImpN2fu0iyQJJdSJyGHtlJ5/g0rSOxuozSGd/gG5RNwRUHo+b/ODxGDZF28YhHHnkEWZY577zz6gnH7c7q1avrNB8Afv/73xOLxbjyyiupqKjg2GOP5d133+0UGiwAQjidWulWkV1s0XkVZIvLKtEIkNftR5KoV8PqRd8T1npQOPqEBpc3laAO8NJLL/Hzn/+c/Px8VFUlGAwyZ84cBg8e3OR+h501iLVfl7B6QzV931zP0J9ltgNsOnBtl+8e+Izs2K6y8uT3FXzz0DIkXQJNQdYVZJ83KQEFxa+iBFTUgIYWUlGDGlpYRQvrqO0g0tdWNnyylE3F39C721Bsy6BHzkD2O7ZzeI1bixGrxqd2Hk9u/IudmNE89NBOwMUXrAZJQusTBgeEIxAO4NY8d2VwZIQLwpUwYiNxMOnKwWprawxJk+n264ORMqAn05lo81V4z0oBv9/P448/zuOPP97oe/a8S5MkiXvuuYd77rmnrcPJCELYndpgUWWv+sZ2BZqSnh+sEALHFTjCxXZtbNfFchxs1yFp2Qih0C83ByWFA2RHZZzusoWsdV4vVUtxqkpYu7U3w4cnd2Xn70Ztgvq8efMaNbzvuOMOKioqeP/99+nWrRuvvfYaEyZMYNGiRRx88MGN7lvzqxz/i2HMnraCFf/d1CUMlvjORD1jxZQlbAnU0gSyECgCZATqHga3AKyaaXccIXAAV5JwpZpHWUIoEigyQpU8LQpNRqoxhiRdQfbLKD4Vxa+w5qvvWGusxe/zoauaN+k6o08+hp5DWq4cvCfJ6moUSeOCx//a5m11FsykQdRQeOaSU5ElCUWB4WOO5bDLb8/I/kQyibOjGFQdSdVA83nPFRkUCeHK+LJLyZ98aau2v/m2jyCU1/yKnRi9XwRhuVjbYui9098TqTPRea/CnYhwSSnhtXMoX7m0/oIau6uxS3ajAq3CJZHYiG1XEw7vX2PAuSAEQrjehl0byXVBOFDzaMSqeS/o58P8vDpjwhUuO+MygX55jJn5FAIXQ9kAgGr3qhGUcxE1EwjvUarZD27dOnXzJO+11ITCLMCTx7/FmIH9mvv62B616K6lr6QZvNyQ2vJN8PR8VqxYQV5eHv369aOsrIyNGzeydauXP1Mrkd1YImlLWf/OXAzRi6HjGk6ObS5BffXq1Tz22GOsXLmS4cOHAzBy5EgWLVrE448/3miDtER5kvcf/oKNO5P4ZDjouK7htUrsiAOgnLUfvY5ufMyu42InbeyojRW3sGIWdtzGTlg4cRvHcHCTDq7h4JoOwnAQlouwHE+O3BZIjotsCiRXIAuBLPCMIkDZzSDapm6kXKmmt+QnbiaoTFSxw65g+QvfoQkFTVJRJQVdVlFlFV3R0BQNTVXRVQ1N09E1HV3X0X0aus+H7vPhC/rQ/T5KSkqxVImd27YSjmThCwbTJhrXUYw851J8wdk4to1r23z//VY2fruSwzK0v7K//4tEWVMex/4EC4pavwNXIOmd31u3O7HPtxP/aieyT8E3OIfgiAIkv0L8yx37DJZ9wMB15fgqdmJpm7xrfCMWimjC2VB36a9ZRxVeRrdUuny3BVLNcgkkCSHJINc8SjK5ZWWM0TTm5mSjSDKarCJLMr3DKq4bRlVyUCSFbXYxNgn6h0aiSAqyJCFLCookI0sKsiSjyHLdvLpJVuqWy5KMIik168l17y2NVzO/5B/YsUGMSLGvTHEcevjTm7m+dOlSTjzxxLrXN910EwCXXHIJzz77LG+88QaXXrrrrqtWgPDOO+/krrvuatO+hevy5acWPbOKydvvpw2uU5ugvjuXXnopw4YN49ZbbyUe9y7ge17AFEXxNEoaYfuKnWzcmWTUwXkc+asD0UJdQ8fErDYBcF4vYvUbRex399Go+t6nH1mR0UM6eoY+l2M6mDELO2pRPGM5EV8PLvn9r+uWF322iu0/bME0TUzDxLQsLMvEtEwsx8ayLeJmAsu1MV0LWzhY2NjCafj4HzyCx5+skWIXAkm4SEJ43iRZ5ucXTmTgsPTltWSa/JEncMzIE+pe7/zNqahp8uo2hBPXUfUycn7iR9gW2DY4DsKxwHHAcdAPb30eFwIkX9cxWOyyJOX//h59QBauI6h4vYjKd39AmC72jkTzG+ji7DNYUiAo5cAR56Gc9kCHjuOLmWPJ3/o1L5z7UfMrZ4hNFaXMf/0fnDPkTML+1EI8Owyd0d3Sqw1wwgknNJkA+qtf/aqu62u6Kf54Advj/TjjnMYNi+YS1C3LYvDgwVx11VU89NBD5Ofn89prrzFv3jzefPPNRrcbrCkD7juioMsYKwA9Du/B4kVb8JUk6KlKHZZrpegKAV2BXD+mk6BbqL63bb8jh7HfkS03IFzXxTYsjFgCI2ZgxJPEq6rZWbYFwzFIJhMYySRGMulJP5SXU2q5bN24oUsZLHtiOxJaCxKnq2e/ibEpgSTj3ZfJeLWqsoQk1TzKktfET5GwjRyChaX4T8pAa4ia/mtyFzJYhOV5qsNH9SI4qjt2eZLY0mKcsiSRE/s28+6uzz6DJRXMKOgd72oTio4m0htaaSl9c/IJOcN4Y9NTfP3CGsJ6iLAWJqKHyPZHyPaHyfNHyA9kkR/KoiCUxTbbT/dI50nUaytffbCebD1M/5P/p9Xb0DSNt99+m8mTJzN+/Hii0SiDBw9m5syZnH766Y2+L9zDK4uNlXatuynVr3LclCP57tHlGJujKB2cNOu6LhZJsrObFvxLFVmW0QM+9ICPSLdd84dwUIPrL/94Ea/P+4D87l27PNhyQW2BwRL9ygThoupVICSEkAAZhFzzXEIIuW6ehIXeLzNlx7V6JbK/61wGtR4h/AfmU/7qWtT8AHrfCNmnZLD7cyej6/ynOhLHAqXjE0aFoqE2ES5oL2ad9Q8ue+tmthjLcIwErmSA3IQHZRiYwUvab4AZxKquZn1xLw4/uKTBZNum2DNBfciQIU0q2zZEIM+HBMTLu6aapYhaWGrHVzKUFFeAJMjLz+mQ/ZfXlPp3S3MH7PbGdkDTUr+MCKETHmKQddkVGRzVbvszTRACVG2v49WtSQKXAl3rMph3wVBK/t/XlM1eRY/fHf6jrwzana71n+oohANyJ3Abqj400fEGy6D8Aj785cx681zhUpGMsjNWxc5oBSXxakoTVazbsYI3djzPqH4/Dm2ADe8vwBZBhpzShrh5G5AVGZ8iEavsmgYLSRs6QZJj8RbPYCjomd8h+6+sqAAhyCvo3iH7TxeWA6qe+s2cEHq7Jbm6VZVsu38xglqxPgdwkKjRYkEAYbTFN2N+vgUkHSHrIGsg1zxXaicfqD7vueoDzYe2/TXc/NG43Q4BLQC+AJIeAF8QyR9ECmWj9B+S9h5jsq4QGFFA5ZvrcCoM1LzOIf/RHuwzWFLBtT1hoo5G0VE7qZqtLMnkBbLIC2QxtNuuktClK4p5Ywckq1U2FK0iHMkmHMnG5w90Ss2Y5vh+2U56BBWyhjScbNse+DWZRPWehb5dA8V0sTvBCbak2JOY79m7WzNrZoaq6ipk10FWOsF5pQ3YDmi+1P6fwnUR6EiNhAO3bNnCrbfeyjvvvEM8Hmfw4MHMmDGDww/3+hYJIbjzzjt5+umnqaio4JhjjmH69OkMGTKkwe25ZSUIQoT7rUcrCHrS9baNsB2E4yJsF7c6ihLMR7ghJNdEcgzPo+4mkO1KsExwTSRheY9YILxHmThKdC388EKTn9shByH5QPIjZB/Ifq/houJHqAFQ/J7Bo/pBC3rPNT/oIe/RF/IMIS2AUdWN6s9M3JiF1jfyf6oXF+wzWFLDdTuFh0VqpcFy11137dXdeujQoaxataru9eLFi7ntttv49NNPURSFUaNGMXfuXAKBlnlGXNdlbdl2snwBugWz+G/NnezV8/PA3VV+qOAQJkGYBCFNEFIcwooLsszh3eGGK37d2C46DKOsjB9KChlzeEmHjsPvU0jEu2a/EN0VuJHUkoUfeOABXn31VVatWkUgEGDMmDE8+OCDdb1wysrKuPPOO3nvvffYuHEjBQUFnH322fzpT39qNjelrLQchExuQcdIhsVicbSuZ6/vRWFgJFmluVTNmIWkKUiqXPOogqYgaWrNpNc0glGQGvDIlJeXc8wxx3DiiSfyzjvvUFBQwPfff1+vncWf//xn/v73vzNz5sw6RfRTTz2Vb7/9tkGtI5Hw8rwChw3GN3pMRj6/cFyEkUAk4ohkHJJxhBGHZAx39WKEa4OZ9HoWWQmwk2AnkJwkOEkkcwe4BpJIIrkGEjXPMWvUeusjiQGYg/+FPjCb8JjC/1PhINhnsKSGcEBO7atq7i6hMa/Cn//8Z2655ZamN6623sMyfPhw3n///V2bUnd9nsWLF3PaaacxZcoUHn30UVRV5csvv2yVZsQf58/k9S0P170WQgGh8cb5fYnF40RjCaLxBNFEgtiq/xLL2o9qrRsxyyVmwdsVvVlUDWd89xWhcIRgOItQKIKqd3xFzLp5C3EJs98pmTn5pYo/oBKt2vtk1tmxYiaaBFZuaneFCxYs4JprruGII47Atm3+8Ic/MHbsWL799ltCoRBbt25l69atPPTQQxx44IH88MMP/OY3v2Hr1q288sorTW47Ho+D5PKnu+9DRkVGRZG9SVM0VFVj+IHDOfFnRzW5HWj+mL/rrruYPXs2mzZtQtd1DjvsMA4cNIABfdsuTteRuLbDEQU/Awuia6IIoSLQgKZv7uSsvfspPfjgg/Tt27deF/DdG2wKIZg2bRq33347Z53lVQw999xz9OjRg9dee61OtmB3ag0WKYOK6ZIiIwVDEGygR9Shx7d6u0IIhOUgknFEIoZIRFGfPRz1sJ+Sf+aBbRhx12afwZIKKYaEUrlL2LZtW733vPPOO1x++eWcd955zW5fknU0wHEslBYmAauq2qhg2qRJk7j++uuZPHly3bzWdnT9vrwIycni54OuocqIUW1G2S+3HyMOaejEf/Fec6Y/O5MHV3Xj5Jmb6s33YRKWDIKyRUi2CCkOIdUlpArGDuvGOWe3vmInVdauqKAwUkG4f+OdmdsDPaBilSU7dAwtwagyWPPwF8iOSzbg65aa1+7dd9+t9/rZZ5+le/fuLFu2jOOPP56DDjqoXtLyfvvtx3333ccvfvELbNuuZ5TvydjxJ/DZomySSWM3zRUTyzaxbYuy6HaWrzCaNVhSOeb3339/HnvsMQYNGkQikeCRRx7hqeee5+Zrfsvrz8/E5/ej+3z4/QH8gSD+QAB/KEgwGCIQDhPJye2UgnN23PsNJg5xGfLzcXXzheUgjCSYSYRhIizvEdMASULdf+8L7htvvMGpp57K+eefz4IFC+jduze//e1vueIKLzl3/fr1bN++nZNP3nXsZWdnM3r0aBYvXtywwWJ4Rr3UQi/xnjTnoT7hhBNYsGBBveVXXXVVo+KPqSBJEugqkp4FWTVeQElGKl/b9Bt/5OwzWFLBTS3ptrm7BGAvo+H111/nxBNPZNCgQc1uX1K9O1PLiqMoLSvH/P777yksLMTv93P00UfzwAMP0K9fP3bs2MGnn37KxIkTGTNmDEVFRQwbNoz77ruPY489tkX7AChLluCXCrjthIta/F6AK38xkZ989yWxWIxYIkksESeWMIklTeKGRdR0iJsOUVMQt+Gdir6UfbmFc85u1e5SJlmyg83lhRx7VHlmd5QCWs42sno+z7K3n0OWfMiSD0X2Ics+ZNmPLPtQFD+y4kdWdRQlgKL6kdUAiuZH0b3Xii+ArPprlvmRFQ1JVdLuZi79upTcpE21T6EypDHokNYlmtb2H8vLa1xKvbKykqysrCaNFYAevfMZf0HjhufD905HSaFcN5Vj/qKL6h8LDz/8MM888wwbd+xEXbu+2X30Cge56ubfN7tee2PGPINF2UOPSdIUJC0EpN6Zet26dUyfPp2bbrqJP/zhD3z++edcf/316LrOJZdcwvbt2wHo0aN+GXiPHj3qlu2JMJKA3maDBZr2UANcccUV9VrLBBvp3t4mhv0MjKr0b7cLsc9gSYUUq4Sau0vYk+LiYt566y1mzpzZ4PI9kVXPtWlbCfCnbrCMHj2aZ599lqFDh7Jt2zbuvvtujjvuOFauXMm6desA7y7ioYceYtSoUTz33HOcdNJJrFy5stGEtsaotksJq62vvFBUlQMPTl3o+xd/ehLblSha/TUFBT2I5HRLe1Y+wIZ5C3DJZ9ApLTfi0o3S62uCweVYyQNwJROBgetaCMn0XssmrmyB3ELNHiEhuRqyoyMJDUnoyEJHRkdCR8GPLAVRpACKHECRgyhKCFkJoKohFC2EqtU8+sKoegjVHya+rQyf5ND/+sMJtrKTrOu63HjjjRxzzDF7CfLVUlJSwp/+9CeuvPLKVu1jdww7QX64oNn1WnrMm6bJU089RXZ2Ng8/8gh5ubkkYjHi8RiJaJREPEYyHsdIJEgmE8z/dCmW3TkTrM3qmnYLgbaHa13X5fDDD+f+++8H4JBDDmHlypU88cQTXHJJ6yQRRNICdCR/2w2WpjzU4Bko6Wj50ShCQMka6NMx1YmdhX0GS3PU6p6kEBJq7i5hT2bOnEkkEuHcc89NaSiS4p0YbDue+viBceN2uWtHjBjB6NGj6d+/Py+99BIHHHAA4Lkwa6XsDznkED744AP++c9/8sADLVP3TboV9PY17y1KF5oMH8V6c9KMjcBGdEwK5Bj5apI83SHfL+gWVDly/96cdPK4ZrfXGEVfVdAzYhDq3XHVQbU4SiWO0Y2jfvZ6k+u5to1jxrGNBK6VwDETOGYSx07iWAlcK4nrJHBcA9c1cUUS1zZwnCSuY9RNjmt4y0QSx41jSaW4rqe/4zgJXNlA2AYYjeRX5YF2VB965/631Z/5mmuuYeXKlXz0UcMqz1VVVZxxxhkceOCBbW69AGC5ScKh5sUiUz3m33zzTS644ALi8Ti9evVi3rx5dOvmVSiFsrIIZTWc/LvgkyUEA52zl7BRWQ2AHmm7N6FXr14ceGD9UNEBBxxQF/KrNQaKi4vptVtLkOLiYkaNGtXgNr2QUAgpkLqnpzEa81DX8sILL/D888/Ts2dPxo8fzx133JE+L8uOVfDWTbBzFZwwJT3b7KLsM1iaw62pxkgh6baldwn//Oc/mThxYqPdfPdkl4elZQbLnuTk5LD//vuzdu1afvpT7wLc0Mli48aNLdquEAJbqqR7oPk704ZorioEYPv27dxyyy3MmzeP6upq9t9/f35/+a84/LBR7CyvYGdlgp1VBmVxh9KEYENU4d8lvXhyo8vJnz5BRIeILhH2KUR8CmG/RlZAI+D34/cFGD78YPK71++RZO7cwqbyvhx1VNu+93RhO+VA8xcxWVWR1Sy0YOYveK7j4hgx7EQUO1mNbUSxrSiOEeO7rfdjaLFW52Fce+21vPnmmyxcuJA+ffZOVK2urua0004jEokwZ84ctDZ2BbcsG1cyiTRiROxOqsf8iSeeyIoVKygpKeHpp59mwoQJfPrpp3Tv3nR4zJEkwuGOV9luCKekJiSUYkFCUxxzzDF1DUprWbNmDf37eyquAwcOpGfPnnzwwQd1BkpVVRWffvopV199dYPbdM0aYbg2elia8lBHIhEuuugi+vfvT2FhIV999RW33norq1ev5tVXX23TfonugA+nwrJnIW8g/PJ1GHRC27bZxdlnsDRHrRR+CiGh5u4SdmfRokWsXr2aF198MeWh1OawOHbbEi6j0ShFRUVcfPHFDBgwgMLCwgZPFrt7ZlJhR3U1kpKgd6R1cuPNVYUA/PKXv6SiooI33niDbt26MWvWLK674SaWLl3KGaf/pMHtbt+ygT//610qDNgSl6muUql2NKLCR7Xw49RUNZyYgENe/Jps9WN8qolPs/DpLo4tcBjAoJNHtepzpRvXrUCWc5tfsR2RFRk5GEELRoD6Bt/KDS/jUtzibQohuO6665gzZw4ffvjhXrkh4F20Tj31VHw+H2+88UbKxn9TlGwrBwly85oPu6Z6zIdCIQYPHszgwYM56qijGDJkCM888wxTpjR+xxwtKwNZYeunnzBr/ntoqkpMOJQaCYYWFBIIBFB0P5rPhxYIoPoDaMEAaiC463UggBYIogb8SFXV+Pv0RS8oQA4E2hw6dcotFEBNgwr4pEmTGDNmDPfffz8TJkzgs88+46mnnuKpp7zGkZIkceONN3LvvfcyZMiQurLmwsJCzj777Aa3KUzHKxNW2yZJ0ZSH+vLLL68Xgjz44IPp1asXJ510EkVFRey3336t22nZenj6RC8UdPKdMPo3nmDd/3H2GSzN4dYYLFLzB3dzdwm788wzz3DYYYcxcuTIlIei7J7D0gJuvvlmxo8fT//+/dm6dSt33nkniqJw4YUXIkkSt9xyC3feeScjR45k1KhRzJw5k1WrVjVbGronq0q2ANA/J7UuznvSXFUIwCeffML06dM58sgjAbj99tt55JFHWLZsGYccckiD2+3ZewAP3/ybBpcJIUgkkyRiUabf/SVOyGZovxhmwsFICgxDxrQVDhywlaw+HR8OAnDlCjS5lSfCDsARJchSywXarrnmGmbNmsXrr79OJBKpS67Mzs4mEAhQVVXF2LFjicfjPP/881RVVVFV5SUlFhQUoLRSlG3ndk9Urlv35o3Clhzzu+O6LobRtFpxdIt3PGU7LpIskbBMSh2v8mV98RYkAY4kcCQJ0RIRRiGQhUBxBQqgIKFINZPsdW1XFAVVUVFVFUXVUDUdVdfRfD4U3Yfm9+PGQvTnCMzviqgs3Ykc8KOE/EjBAGr3HLT8SMpDOuKII5gzZw5TpkzhnnvuYeDAgUybNo2JEyfWrfP73/+eWCzGlVdeSUVFBcceeyzvvvtuo0aqMO0GtUzayu4e6oYYPXo0AGvXrm29wbJsBiTK4ebvIdy11ZDTyT6DpTlqpfBTMFiau0uopaqqipdffpm//vWvLRqKVtNd1I2Xtuh9mzdv5sILL6S0tJSCggKOPfZYlixZQkGBF7q58cYbSSaTTJo0ibKyMkaOHMm8efNafLB9X+qdYAfnF7bofY3RUFXImDFjePHFFznjjDPIycnhpZdeIplMcsIJJ7RqH5IkEQwE8Pt8BG2J4EE9OOqq09Ix/IwhyVVoSufysDSJUoYm79/it02fPh1gr//tjBkz+NWvfsUXX3zBp59+CsDgwYPrrbN+/XoGDBjQquGW7qwAYOvmYhzbJRgOUNArj3DW3jkJzR3zsViM++67jzPPPJNevXpRUlLC448/zpYtWzj//PObHEdVjYF2ym+uo88RTSdbOraFVVWNWV2FVVWNFY9hJRLYyYT3GI8R/fprpNwcXE3HNhJYSQPbTGIbJrZlYlsWtmXiODa27ZCwTJxkAke42ELgCBcHcCUvVFUQ6Ef/Xkdgf+Oj+hsDMADvmBWuQ68/HIaak7rR8rOf/Yyf/exnjS6XJIl77rmnXjVOUwjLRZLSn7C8u4e6IVasWAFQL9emxQwZCx//DRb+BU6b2imESzsD+wyWVEnhDiaVuwSA2bNnI4TgwgsvbNEQAtEdAKilLavFnz17drPrTJ48uZ4OS2vYVOm5/Yd2692m7UDjVSEvvfQSP//5z8nPz0dVVYLBIHPmzNnrgtVSiksT+IREXkFmOsOmE1mvQlfaJinfnNjZ7vzmN7/hySef5JFHHuHGG29s0X6EEMhaOT6l5WFC0YxI4gknnNDsOq1BrinrXvj5e3XzFOHnjrv3Pj6aO+YVRWHVqlXMnDmTkpIS8vPzOeKII1i0aBHDhw9vchzVNQ0Ss3o3fzwpqoaSl4e/iZLvdOK6LnY8jlNSDXETN57AjSVxE0mqF6xFkvsjzI6tbhKWiyS3XRG6KQ91UVERs2bN4vTTTyc/P5+vvvqKSZMmcfzxxzNixIjW73TAsXDGw16y7WdPwZUfQmHDHuT/S+wzWJqlZSfE5u4SAK688spWlV5a3YcBEI90zg6vW6PF4Ork+tue5NlYVcgdd9xBRUUF77//Pt26deO1115jwoQJLFq0iIMPPrjV+9vwgxdK6Nm7cyY41pKMR5FVA5+v9aXjqYid1TJnzhyWLFlCYWHrvGaJWCWyliTg75y/2Yb4ybgjOfCQIUQrYyRiSd55911iRmWj6zd1zPv9/lYnX1aXe5o/rz3+OLqiomsquqah+3wMHDGCISed1KrtpgNZltHDYWggIdjcWI6xDpRI26tz2oKwRVoMlqY81Mlkkvfff59p06YRi8Xo27cv5513HrfffnvbP8ARl0O4B7w4EV6YANcvB1/nPj9lmn0GS3PU3cF1fM8G2ecZAjYd37G5IRauK0KNRNrc1LCxqpCioiIee+wxVq5cWXd3OnLkSBYtWsTjjz/eJmXJDWs99/u3Ly5l/eufoekyml/BF1DxhTT8IZ1A2E8gK0AgK0A4N0w4N0wgHEBW2k+FtLrC82L5g633sKQidgaeF+a6665j7ty5nHHGGa3aV0XJZgBCkfSECduLgp65FPT0DLj/vh/CsVuoaZMGBh12OOtfm0PCdam0bGwDLEkiqWmsfe+9lAyWplRaN2zY0OD/HTxPZnMhq8ZwkybCsZADHZskKmyQWqpF1ABNeaj79u27l8ptWjngZ3DlAnj2DHjtavj5/2ZuX12AfQZLs9QYLJ2gs7CqeuV5rt10sl5HIalVuFbrvSvNVYXE415Z8Z7lsYqi4LptM+LWl2/lB03lMCdOvErGdRSEKxBIgFITC7eA6r3GLGGBZCHLDrLsIqsgyy6qLqP6FFRNRtVldJ+C5lPR/Cp6QMMX0PEFdXxBH76QH3/YTyDsxx8J4PPrDSrORqu8sGAo0vpEvFTEzlzX5eKLL+aWW25pNnTRFNUVWwHIyu1aBsvuJJIxAv729xb0G30kl44+cq/5/2/y5BaViDem0tq3b9+9WoU89dRT/OUvf2lxheDuCMMBt+PF7oQNZrIvxX+cDZIAJIKDIXLx3jL+nZpQAQw8Hn74pKNH0uHsM1iaoxN5WFTNy4Z3nM5psERCcfLa4Ppvripk2LBhDB48mKuuuoqHHnqI/Px8XnvtNebNm8ebb77ZprFvicdZEhA8+ee984psyyReGSNWESVWGSNemSBelSAZTZKM2RhxGzPpYCUdbNPBtgSuI5OIWriVDkLIIBQv30ICSZLxEhSb+T8KGyQbSbKRJAdZcQn2WEPhmLYZLKmInT344IOoqsr111/f6v0AxKLeBTEnv+15TR2FYSfID7UtZyidxISgVwvKtxtTaVUUZa/5c+bMYcKECW3SfuksBktozADkpevqXseKB5FYt5HU04A7mK3L4Y3rYftX3utjbujY8XQC9hksqdIJPCy1Zc2d1cNiigpy9NY1TYTmq0I0TePtt99m8uTJjB8/nmg0yuDBg5k5cyann356W4ZOcdQit5FEfFXTyeqmk9Wt7ZU5ruNgJpMkowmS1QkSsQRGzCAZMzATJkbcxExamEkbK2ljmw6W4WCbAtsSKPpOACLZrc9haU7sbNmyZfztb3/jiy++aHN4LxHfjisC+DqpWmtzuI6LTZLs7Jb17sokCVkmHErd49OcSmsty5YtY8WKFTz++ONtGp+wXIRoe+5IW/Ef9xP8x+3SZnIf/CeumbnOzWklUQHP/gzyBsH5M6H/mH3lzewzWJqnE3lYFKXGYOmEHhYhBI5cRbdA6+9EU6n4GDJkSINCfG2lNCno5s/8/1hWFPyhEP5QCFqhr7forQ9JmAq6v/V3wM2JnS1atIgdO3bUu6g5jsPvfvc7pk2bxoYNG1Lel2nuwKULlWDvQdmOaoTskNstp6OHAoBjmiR1PSUVXmhepXV3nnnmGQ444ADGjBnTpjEK2wXaP+enWVw3JXmKTkHVFjCjMO5Bz1jZB7DPYEmBzpPDUuthEU7Hu1v3ZHt1FZKSpFcXvQsodzQODHf8/7g5TLMUt42Kl82JnV188cWcfHL9TsannnoqF198cV2/qVSxnR1A671B6aaibBOrv34eRfahahE0LYymR9B9EXRfFr5ABF8gC38gC1X1s36t154inN32BnrpoHLzZpAksrqldmPQnEprLYlEglmzZnHHHXe0eYzCEcj+7my88TXABVwkXJAE/v1DFFzddBVlxnAlJLlzFizsRe3Nm9L2xpI/JvYZLM3RAuG4TKNotQZL+tUb28r3pV5yZd+srlO+Wott21RJfgobiwk1QSr9j6666iref/99tm7dSjgcrltn2LBhLR+rUwFS27RimhM7y8/PJz+/vpGhaRo9e/as97lSwZVKQOo8HsFvlj5HQpmBa/tQtKZbXAhX4YcNI4HhZOV2jlBC5Wav6iq7R+vaXzSm0vrKK68Qj8f55S9/2eYx5pxxEFUfrkL2CYQjwBEIAcKIkPw+mvJ2XNfFtR1kVWl1H6rdEa4Mevp1ezKCGfMe09D24MfEPoOlOTpRSEhVOq+HZX25Z7AM7ILVIJu27sCVFPp2a3meRSr9jw477DAmTpxIv379KCsr46677mLs2LGsX7++xfLxjqhCa2PaYKoCh+lA9m9AuJ3nLtEwt+O4/Tlp3HtYSZtkohozUY2RrMIwq7GMaiyzGsv2mjcGA15lxsBBfTt45B6VtYnofVs3nsZUWp955hnOPPPMOvXrthA+bgTh4/YWTdv0u9pqndR47qGn2RD3kraHZg3gwpt+1aZxCVfuOoKxRR+AHoHuBza/7v8h9hkszdKJQkI1HhY6oYdlY6V3YhnSBatBijZ5pcIDerVcJTSV/ke7iwQOGDCAe++9l5EjR7Jhw4aW9xqR4yhK243CVAQOd6cleSv1SB6NYHvr3psBbGcHEgWomoKqKQQiPqDx8ErxG0k0rRxd71gRtFqqysqQhEhJ/RaaVmmtZe3atSxcuJC33347U8P2cCUkNXWDpSoZpY+vO6Zj8kPlFl6a9hyyLCNJMoOGDuKQsUe1aPfClZG6gsHi2PDVS54Gyz4PSz32GSzN0YlCQrKseqlsndBg2VDpxfqLo6X0yuo8FRWpsHG7pyg6uF8ben/U0FD/o92JxWLMmDGDgQMH0reFd8lCCCQtia53npyQ5nBFCbLUuvBFJhDyTjTpoOZXrCFaHcPv7zwJpNWVlfhME0VN7dTdXB8xgH/+85/06dOHsWPHZmrYHkKCFhgMAkFBdh69+vRm+dcrKI1WIHCptuP8sGQzhf36kNunG3o4tXCdcFUkpZPlsJSth02fQbLSM04CubDqLShfDxNmdvToOh37DJbm6EQhIQBbkhBux5cM7sn+eUP4rBIivs7fi2dPNpVWoQjoWZDTpu001v8I4B//+Eddt9mhQ4cyb948dL1loRIzEUf12/j8XSexWY18g2K0TiW3OYq+fY+dxZ+hKH4UNYiqBFDVAIoWRNMCaL4Qmh5G90Xw+UJogQiSVooup25ARaMGwWDnOPYBorEYwRaIJKbSR+z++++vK3HPJAIZuaXKs5LEkWcex5FnHlc3a/7/e5OFm5cyffb/o6+/B5dPvjqlTVW6MpZZTHzFB/QcfhyK1oGhylgpvDsZvn7Je634PO0a4UKkF4y9F3qN7LjxdVL2GSzNUhsS6thR1OLQOXNYtsd2IITCgNy2x8Dbm22VSbLF3gq6LaWx/kcAEydO5JRTTmHbtm089NBDTJgwgY8//hh/CwTAKks3IauCUKhr5AnVqg8LfXlGtl+04Y/IvhJcI4CkmMhK84a8okPQ16fZ9WqJx12iUT9LlszC5wvi94cIBLIIBCIEAtkEAjmoarDNejWpEjNNgmlIQO0YZFBS/548nem91//Jxaex33fDeO2t19mULOZv9zyEjIwkQa+cnpx60RkomoqqaciagqJ6bp031fVURZPw2iJO//4rjjx/Uto+Wcq4Lqx4Ad6/0zNOxv8Nhp8L/ixwLE9/JdStU6QgdEb2GSzNURsS6iQWiyNJLNg0n3tfOqJmRFLdb1vyXnnPJQkJibM3jaen1RchywgErixwJYGQBMgSiuId0IqioSoqsq6g+DXUgIYa0PEFA/hCAQKhEMFwmGAojNqAbHxxbCeyk4XSZbLadrEjapOrZab/US3Z2dlkZ2czZMgQjjrqKHJzc5kzZ06LOnZXl28AIJTVORJAmyNW5XUbzg5MyMj2Fb8nonfyKV9iWy6WYWIacSwzjmXE+efMZ3l+9sts2boNBAwaWMjlvzydq649t24bixcv5rbbbuPTTz9FURRGjRrF3LlzCQS8Mma/X6KyUubdd9c0Og5JclAUB0VxURSXwsIAv/jF3Y2u3xZirktBoONLrIsWLGDjN99QsbOEzYk4MhKKBIokoUgSqiShyDKqrKAqMoqiIHw5aGisfuEdVFVB0zRUTUVRNTRNRdU9I0PzaaiaRrWbaPC6rfhU+o8azNmcxVdLvvCqiVzBlyWrKSmt4utH9/hfCVCQcSSXI/sOYdmmVQi3A6qFtq/0ui9v+hQOnuB5USK7efsUDcJd74avPdlnsDRHbUioE+SwACgyDPHpbAx1QyAQ7C64tuu1qHk1ZsdoyoNVREM2spCQHAlJSMhCAleAKzybzBVIwkJzBEFHJegqKAggDsRxKKUar5OOi0tCMUgqJoZqYWk2E5w+nOZexNxHPgNdRvKrKAEFLaChhTT8IQ1/RCcc8RHK8hHO8qFrncO4KTElegVaZ7A01/+osfcIITCMlpX7Rqu8PKHsvOb30RmoKPVKcHNyD8nYPnyciqzI6IqM7lcJsSskOeqIYzjsqOMZMmQIQghmzpzJLbf/hZPPuIrhw4ezePFiTjvtNKZMmcKjjz6Kqqp8+eWX9TxtV1/9IJaVIB6vJJGoIJGoJpmMkkhWYxhxjGQc0zQwTQPLMigq2sTWrRn7uJ7KbbBjw65F8+fzvwsXIrkuAdOkl6qiugJHuNiOgyMESQE2Ak9CTsKWwNVtXFnFWVOMg4sjNR/a0poI2/QfNZj+owbXvR5bVsW6L9bgOA6ObePYDq7j1r0WwKiTDuezf3zPmg1bWPqn35HtA0WWUBUJVZbrjCtVUVBVBUVRUTUVVdVQVM+QUjUdVfOhaDqq7sdBoSph06tnd/zBML5wLsH83bygjg0fPQwLHoS8/eCSN2HgcXt/oH00yz6DpRmEcJAA6+ULieV71m/9S1vDFzqx52xR80eSqAsz7T5fCCThmRmS8F5789ya595jyHE5vsfBnHVGai3rN376HvkjDA49K/WGX5ZjETWjxBJR4tXVJOMJjFgcI57ETpjYcRPXsBFJBwwX2QRfPECvRDbBUgO/K/C7EALUBr6feM0UQ5CQBDsdk79Z2/DJLiEFIiqEdJksn0rYpxEJ6URCPrLCAbKyQt6UGyY7L5twVhiljd2SKxyNQyKtM1ia63+0bt06XnzxRcaOHUtBQQGbN29m6tSpBAKBFrcTSES3gt51PCxV5ZsACGelljOy4pPnKS75XxA+JAJI+JGlALIc8B6VAEpNnoosBxCuRDDQeJx//Pjx9V7fd999TJ8+nSVLljB8+HAmTZrE9ddfz+TJk+vWaUhnRtMCZGcHyM5uXmNo5sw72LrVoqJiC4FADpoWSIuGCIBr2yRaoHKbKUo3eYbopGuvI6t76z0CruNiGxa2YWIlLWzTwjIsb55lY1sWfYanbpyH8rI4+OTDm9mnwwB/FTuTKoZQUcwkER3itovtOtgCHFfCFt7kCBkbBRsZpwWXy8t/djR9Dz8VtiyDubd5XpXjfgfH/x7UzlPm39XYZ7A0g+nXKOvuQ7cFmrX7HXEDLsXdpOX3vvzVzmk4LiskCSQJIckISULIimfcSJLn3ZFkkBQqs3vgG3n5Xu9vDCG7uHbLknQ1RSM3kEtuIBdaXulbh+u6GAmbqsoksSqTRLVJMmZixCysuIUdtwluKOGAhJ9hukWZLYiaUGooxGIQlSXiskxClRGSA0Rrpl1IwiXgmIQci5CwCOEQkl3CCoRVibBPIexTyPJrhIM+ssJ+z/DJDhLJChPOClIt+emV07qLSnP9j/x+P4sWLWLatGmUl5fTo0cPjj/+eD755BO6d29Z8mwiuQNXkVDVrtG+zTS8iqmvV5+G+62GsAMIJ4hwg0giiEQIWQqhyBEUJUTC/gi0SmRrBEIkcanAZTsIA6QkkjC8yTWRhECSISdvUEpjcRyHl19+mVgsxtFHH82OHTv49NNPmThxImPGjKGoqIhhw4Zx3333ceyxx7b6M3ueMz/Tpj1dM8dFVb2Qkaq6KCpoKqiq7N2YmD3Q5F7oul43+fw+/H4f/oAPf8BPIOQnGPIjKnYgZJlIIxVo7cWm4u0EEglCWW37HcqKjB70oQfbptzcsn0q/Gryw616r3AcHDOBbcSwjQSOGcc2DOKxKop3lpIX0ti5uYh3vqnArd4OL/8KvpkDBcPgkv/AgNb/rvbhsc9gaQYhK3w7LMKokc+Sld8F3XgSyF/ms/nzRQCYfTYx6NqL2mXXsiwTCOkEQjo0kie6/aFXsaojPPRQ40aYkzSoqqiiqqyKqsoYVZVRqqrjVEUNonGTqoRJNGlTbThELZeYLai0JbZaEtGETFxWiSkahqICNtQFt4q9HUgyWz/8D39/63FUQJNkNFlBU1V0TUfTdXRfgKzuPRhz25317pib639UWFiYNn0LyywBLdBuCZ5tZfjh/8Oar8IYRgWWWYUjothU4xDDcaMIEcNhC46IgxtDCZYhi0J+Ou7ZJrcrhMC2DBzHwh9o+qL59ddfc/TRR5NMJgmHw8yZM4cDDzyQJUuWAHDXXXfx0EMPMWrUKJ577jlOOukkVq5cyZAhQ1r1mc899zrWrfsUw4iRNBKYRgLDqA0ZWZimhWU5WJZDIlGBmZCxDRdX2LjCwZXsZsXVcgs7TutICMHaigqGqBpKCxLG98RxHO666y6ef/55tm/fTmFhIb/61a+4/fbb637fd911F7Nnz2bTpk3ous5hhx3Gfffdx+jRo9P1cVqEpCiogTBqoH4fr3yg1ucpfT4XvllMaMEfIeyDsx6HkRfSdRTrOjctMlimT5/O9OnT60Skhg8fzh//+Me6fhVFRUXcfPPNfPTRRxiGwWmnncajjz5KjyZkpO+66y7uvrt+gtrQoUNZtWpVCz9KZnBr2qRLcvptu1QO2jbvI68KZecuXRR1a+eSznerTIQda3Idxe8jt2cBuT3blpBmJpJUlldRVVFNVXmU6sooldVxtm3ezAGRQpx4FkYijplMYhpJLNMkaSSpjsdIuDtJ7tjMqK1bCPfpmJCM7Zajup1DwCwVdF+Qg444t/kVa/hg/hCycpqvgJIkCU33o9H8BXPo0KGsWLGCyspKXnnlFS655BIWLFhQV8F01VVX1fVHOuSQQ/jggw/45z//yQMPPJDyuHcnK6sHo0admdK6c98+goB0GsePu7nefNOwiEeTxKJeN+9EPEnJmh+wn/kzyiGj6X9MBzbDEwJLktgpXH745BP6HnVUq0JeDz74INOnT2fmzJkMHz6cpUuXcumll5Kdnc31118PwP77789jjz3GoEGDSCQSPPLII4wdO5a1a9emRZE33RiGwRffbQAE4XAWXPYGdJF8s65Ci67Cffr0YerUqfWS2M466yyWL1/OgAEDGDt2LCNHjmT+/PkA3HHHHYwfP54lS5Y0+aMePnw477///q5BpSiK1B7UtkmXpPSPKZWDtq30v/YcXDeBpmVR9MTzSLHOpZzoJgRSO/Wa0QN+CgJ+CgpbrmPyyf13s2T5ZwR7tl1crrUIqpHp2PyFTGHbccAlEEivMajrOoMHe4mZhx12GJ9//jl/+9vf6vJWGupavXHjxrSOoSEcx0LRK/Are/+edJ+G7tPIyd/lPdpcvJPqLVvIu+v8tOXEtAZJlsmyLLYFg8x47z1+adsMqlF0bgmffPIJZ511Fmec4Wn0DBgwgH/961989tlndetcdFF9T/DDDz/MM888w1dffcVJJ53Utg+SZrZt28arr75KRUUFZx47Av9P/7jPq5IBWnQVbiqJbcuWLWzYsIHly5eTVZMUNnPmTHJzc5k/f/5e3V/rDUJV6dmzc93511JrsMgZMFhSOWjbiqJoKDXyzlJcgVBqwk3NeX8sy+L222/n7bffZt26dWRnZ3PyySczdepUCgtT1wkRtoKkdx4l0caIlpbiFwK5g4xpy7TYufos7Hhvnv18ForqoqiC8o29UXSLHvvvRFElFE1C0WRUVUbRZVRNQdEUVE1F070qB03XUHUdVffCXZruQ/P5PK+FL4Cm+5Db+WRbXb0SgFBwcDNrtg3XdTEMgwEDBlBYWNhg1+rdOxxniurK7UiySzBFTZ3EJq/1RXhgx7e+uPIPf+Cbt9/mP2vWoOityz8ZM2YMTz31FGvWrGH//ffnyy+/5KOPPuLhhxvOLzFNk6eeeors7GxGjuw8gmpCCJYtW8Y777xDQUEBV1xxRYtz0/aROq0+++6ZxFZUVIQkSfh8u37Afr8fWZb56KOPmjRYvv/+ewoLC/H7/Rx99NE88MAD9OvXr9H1DcOoVxJaVVXV2o/RLLs8LOk/gbf0oG0rUtwP3ZvuUFtLc96feDzOF198wR133MHIkSMpLy/nhhtu4Mwzz2Tp0qUpj0kIH0owtTEBLFy4kL/85S8sW7aMbdu2MWfOHM4+++y65ZmKe8eqKgh00B2T67q8+Kc3iO08nO5DN6EoYFtetSSAY2pUbpdxHRnXUXBtBddREY6K62ggdh+3Cxg1U+NIsoWk2Agho+oJTrmigIEHZC6Hq7JqBQDhyAFp2+aUKVMYN24c/fr1o7q6mlmzZvHhhx8yd+5cJEnilltu4c4772TkyJGMGjWKmTNnsmrVKl555ZW0jaExKktrK6hSM0CMrduRJJVAYce3ZfDn5KDVqDRHerTu4jx58mSqqqoYNmwYiqLgOA733XffXg0433zzTS644ALi8Ti9evVi3rx5dOvWeO+n9sQ0Td5++21WrFjB4YcfzmmnndapogM/Rlr87TaWxFZQUEAoFOLWW2/l/vvvRwjB5MmTcRyHbdu2Nbq90aNH8+yzzzJ06FC2bdvG3XffzXHHHcfKlSuJRBpOqHvggQf2ynvJFEJ4d/+SlP5QSqoHbbpQEmHISs2b0Zz3Jzs7m3nz5tV7z2OPPcaRRx7Jxo0bmzQ4a3FdF0kLo2SlLuIUi8UYOXIkl112Geeeu3d+RKbi3rF4jIDe+iTDtvD2Y+9SuTOXIYc7jP31ZS1+v21ZWGYCy0xi1eTmWKaBbRhYlolteiWltmVhmzaWZWNbDrbpsGG5Q7KiO1/M+y6jBkss9j0AWZG9u/y2lh07dvDLX/6Sbdu2kZ2dzYgRI5g7dy6nnHIKADfeeCPJZJJJkyZRVlbGyJEjmTdvXssbUraCaJUn1pKVl5rqrlW8AymQk7Fw0Jq5c/lw/nxkqUaPRJYRQjDqiCPxh8MMOv44lN1aScTKvf5bkV6tC5G+9NJLvPDCC8yaNYvhw4ezYsUKbrzxRgoLC7nkkkvq1jvxxBNZsWIFJSUlPP3000yYMIFPP/20w70YVVVVzJo1i5KSEs4++2xGjRrVoeP5v0KLDZbGktgOPPBAXn75Za6++mr+/ve/I8syF154IYceemiTB9nu7tcRI0YwevRo+vfvz0svvcTllzdcOTJlyhRuuummutdVVVUtbiSXKq7IXNJtqgdtOrDiUWTHj5Sdmqx/a7w/lZWVSJJETk5OSvtwdpQjKTpqfuqJpOPGjWvSZZ+puHfCMumZ2/53dotf/ZgN3/go6FvJ2F+f06pteGJXGoFQy/JfPv7P6yQrvJuGquIIKxa+h+bT0fx+rwTXH0T3B/H5Q/iCYTRdb3WyuJHcBkjoem6r3t8QzzzzTLPrTJ48uZ4OS3sRj27FdVSy8lK78LqlJRBO33ezJ6s/X0qxptHHcbBcl82yjK1pFK3w2ipo/53PAMkTVlMVhdJYzAsvtrJS6JZbbmHy5MlccIGnD3XwwQfzww8/8MADD9Q794VCIQYPHszgwYM56qijGDJkCM888wxTpkxp+4duJaZp8r//+78kk0l+/etfd9p0hh8jLb4KN5bE9uSTTzJ27FiKioooKSlBVVVycnLo2bMngwalppUAkJOTw/7778/atWsbXcfn89ULPWUS4XoeiUzksKR60KYDo9Qr4dVzUrtotdT7k0wmufXWW7nwwgvrcpiaHdMGT2RN65WZE3E6495VkqBfuH31T1Yv+Y5lc6MEw1WcPzn1apt0kYzt0u+Jl/bg41nghZRqpf8q6r9BcpFVA1m1UDS7ZnJRdRdFE6g6aD4Z1Sej+xQ0v4rm05Bkg+KdNsFuXTf2v37VJ6xZ/WckfEgEkaWgpzGj1E5hNC2MqoXRtAhVVd/gkIeqphZmFOUlkJ25cFDCSJJl21w6dWrd2zo6WwAAYTJJREFUvGhxMUZVFe/MnEnctqkEHFNgSxKOJNGWW8R4PL7XjayiKHXVW41Rm4PUkbz66quUl5dz5ZVXdrin5/8abb4KN/QDqo0xzp8/nx07dnDmmamV+QFEo1GKioq4+OKL2zq0tCBqPSwZMFhae9C2hmRZKQB6bmrGQUu8P5ZlMWHCBIQQdUJqqWBt8dzKWt/0liimO+6dqPIE0EqNeLqG2CzF67fz/rNrUVWTC+86HTnFC1s6OemC8zjpAnBsB9NIYibjmMlYTdl3AjNpYJlJ7zFpYhomlmFjGQ6W4WKbDrYJtgmWIZGsVnAsBcdScSwd19YRjo6niXwl2f2/hpaJ/3YaNm14FzmwBpEcgaAEW0qAnECSvEmWTa9zqQMk8T5yVerhL7m6DJGo5subpiIHAsihIEoohBIKokaCKOEQWiSElhVGyw6jZYXQs4KoKba/SNg2/j0ELcM9ehDu0YNf3HtvyuNMlfHjx3PffffRr18/hg8fzvLly3n44Ye57DIv5BmLxbjvvvs488wz6dWrFyUlJTz++ONs2bKF888/P+3jSZW33nqLVatWceaZZ+4zVjqAFl2Fm0piA0/d84ADDqCgoIDFixdzww03MGnSpHpy1yeddBLnnHMO1157LQA333wz48ePp3///mzdupU777wTRVFa1BQuk+zKYUn/BaO5gzaduEnP8IquLyK73/Bm10/V+1NrrPzwww/Mnz8/Ze8KgL2jCiFC6P3T61JNd9w7ttmTIh92UOZ64uxOvDLGqw99Amice8sxBCIdq72iqAoBNUQgFALSa1w6tolpxHjh7v8SCGU3/4ZOimVtwxX9OPXM2Q0ud10b24phGNUYiUrMZDVZualrdIj9hqOsXo70/qtIdhLZtRB4MoiN6VgLJFxFx1F0hKLjaj6E6kPoPtB84POzpXsO0R4R1vt8DLTarwv8o48+yh133MFvf/tbduzYQWFhIVdddRV//OMfAe/GbdWqVcycOZOSkhLy8/M54ogjWLRoEcOHN3/+SjeO4/D555/z+eefM2DAAA499NB2H8M+WmiwNJfEtnr1aqZMmUJZWRkDBgzgtttuY9Kk+i28a0NGtWzevJkLL7yQ0tJSCgoKOPbYY1myZEmnEQbaVSWU/qTb5g7adBLq0weTjajh1AyKVLw/tcbK999/z3//+1/y81vmsrYrEgjTRQmkN7yX7rh3dJOny1EweP90DrNBHNvhX/e8jWNHGHvZALoP+HHHxxVVJ6DquA4EIp1LI6gl2GIHsmjcIJZlFd2Xje7LJpKVWqLt7hz2r7/Xe+3aNnZ1HKMyilUZxaqKYVfXTNEYTjSOE08gxRNI8TgimURKJiCRAMMAIwlmgrU53TEkl0jSalHovq1EIhGmTZvGtGnTGlzu9/t59dXU+qVlgu3bt/Pll19SWlpKeXk55eXl2LbNkUce2S5l7/tomBYZLM0lsU2dOpWpu8VAG6JWJbeW2bMbviPpLNQm3coZSLpt7qBNJ8lSL1/E3y01Q7A5749lWfzP//wPX3zxBW+++SaO49Q1/svLy0PXm2/w5Vbb4GZeg6Wtce/qrZ6HJWvAgDSNqHFeeeANEtFcDjstyP6jh6VtuwMGDOCHH37Ya/5vf/tbHn/8cZLJJL/73e+YPXs2hmFw6qmn8o9//KNJlep04boudjJIKDv1arFOh7wTTdq7cWK6mTp1KlOmTOGGG25g2rRp6LltExJ8+86pDCjcn4uvav8cqc6IEIIFCxbw4YcfEg6H6dWrFwMHDuTQQw9lwIAB9GplVdQ+0sO+ovFmELXS/FLX7rBplJUDIQIFqd3dNef92bJlC2+88QbAXiV9//3vf/dqBtgQriEhKS1zQ0ej0XoJ2evXr2fFihXk5eWRn5+fkbh3tLgYSQgi/fq3ehupMPfp9yjZks3Ag5McfU7jukWt4fPPP8dxdhmHK1eu5JRTTqn7XiZNmsRbb73Fyy+/THZ2Ntdeey3nnnsuH3/8cVrH0RCJaAXC0emqESHXdZB9pfik1AUTW8Pnn3/Ok08+yYgR6Sn9FkLgYhEMBNKyva6OEIIPPviAjz76iBNPPJFjjz0WRdmnVtuZ2GewNIPrmgDIctd1VwNY5dWggR5M7arQnPdnwIABzTb+axZXRw62zGBZunQpJ554Yt3r2vL2Sy65hCeeeCIjce9oWQk+VyCn4DVqLUvf/pzvl8rkdi9n3G9bV77cFHuGWKdOncp+++3HT37yEyorK3nmmWeYNWsWP/3pT4Fd+WhLlizhqKOOSvt4dqeqzAsRh1OsYOtsRCt3ICs2oWDLQz0p7yMaZeLEiTz99NPcm6YkWCNhISSHYCiYlu2lGyEEa9euZcmSJUSjUYLBIEOGDOGwww5Le5WoEIL33nuPxYsXc+qpp3L00Uendfv7SA/7DJZmqNNhyUAOS3viVBpIgU52t6CEkCNmi95ywgknNGkoZSLuHa+qxC9lrn/LuhVFLHm9BF8gys/vOCfjvWJM0+T555/npptuQpIkli1bhmVZ9dSohw0bRr9+/Vi8eHE7GCxlAERSrGBrDZ/PnU759s1oPj+aP4jPH0QPhND9IfRABF8ggi+QjR7IIhDKRtVDKf8fyks2eOPPyVxTzGuuuYYzzjiDk08+OW0GS0VZNQDhrM7XULOqqop///vf/PDDD/Tu3Zu+fftSVVXF+++/z0cffcTpp5/OQQcdlLb9fffddyxevJhx48Z1WDfofTTPPoOlGYRrIUmtF8TqLIhqINQy4yCT2FVxJNWPmtf5TpZ7Eo9F8beyZ0pzlG0t4Z0nvkGWHS7441hUPfOH5GuvvUZFRQW/+tWvAC/BUNf1vQT/evToUZeXlEmiFVWASk6K+VUtxbFNFj37HyQZBCDsFAwRSaBoAlkDVcfry+RTUHUV1aeh+TQ0vw/N7yee2IiWEyJ3xICMjH/27Nl88cUXfP7552ndblWNwRLpZAbLli1b6nIbJ06cyODBg+vOvxUVFbz33nu88sorCCE4+OCDU96u4zh89dVXbNq0idLSUrZt24amaXTv3p2qqiqysrL2GSudnH0GSzO4rtnlw0EAUkxH6p5+fZfWYtaKxvXsvIkLQgi+/c9/2NCjL6Y/wD133F5v+Z4mrPda1D2T6j3ftVLdcwHB8kNR8HH2pEOI5LXPd/HMM88wbty4FjWpzCTRyjiS4ieQopLr2i/n8sW7L1L2QzVWwmbYTw/wVHcDIXyBEHogjC+QhS+YhS+QjZGoQLgyJ/z6TEadeAmWFcdMVGIkqrwpXo2RjGIlojVaMzVTIo6VTHjtDBIGlmFiGRbJaJJYaQzbdHFMgRmVkeS+nHlx+g2uTZs2ccMNNzBv3jz8rVSVbYyqyhgAWTnhtG63tTiOwxdffMHcuXPp0aMHF1xwwV7tWXJycjj//POZNWsWH3/8cUoGS1lZGStXrmTFihWUlZXRs2dP8vLyOO644+pax+Tm5nLsscdm6qPtI03sM1iawRUWsty1E24B5HgIKSv1JoOZxtrk5S3ofTq+mVtDFH3wAR/MncvWYJAcRaV3bg5SwA/CM2SE98S7Yxd7PK953P35rnkA3rJEQkW1c+h9iEvv/TMXTtidH374gffff79e6Kxnz56YpklFRUU9L0txcXG7yI5vX7WaZPkynrjmUdRaBVy/jubX0QM+dH8APeBHD3ohnNUff0z5RgO3xlPyzXvLcSwZRNNe0F6DD0GWfTVK2blEctIz/n/98a8Ur/sSRUl/KG/ZsmXs2LGjnu6H4zgsXLiQxx57DMMwWp0YWl0VBSA7r30VnPckmUzy7bffsmjRIsrLyzn00EMZN24cmtbwjaIkSRx22GHMnj2b4uLiRivZduzYwfz581m1ahWapjFs2DDOP//8fZU+XZh9BkszCNfMiMpte2IbMVQzCyk3s7kRLcEqrgAC6IM6x11+LVuWLGHenDlsCATIlmXOHD6cUeedl5G8kucfmksFDsedfUTat90YM2bMoHv37nVNLcFrsaFpGh988AHnnXce4Gkqbdy4sV2SD+OlCSQJeg3rhZlIYCYMzGSCeGUUO+nimGAb4Fq7/ge9Ds7motv/VffacSwso4pkvJxkvAIjXoURr8RIRDES1fj8YXr1z8z3HKssRfNnxjt20kkn8fXXX9ebd+mllzJs2DBuvfXWNlWxxKo95easnI4JCTmOw8cff8zChQuxbZthw4ZxwQUXpFRKP3jwYILBIMuWLeP00+vLI5eWlvLf//6XlStXkpOTw1lnncXw4cNTklrYR+ema1+J2wFX2F3eYEmUep1h26rZkE7s0jiuYaFkd44xFX/6KXMfe4z1AwcSlGVOHTSIIy+6CCWD7eJd10VCA9E+hqTrusyYMYNLLrkEdbfPlZ2dzeWXX85NN91EXl4eWVlZXHfddRx99NEZT7gFMGIxAll9OOeGxhtrAriOg2XGSMbKCGXXv0tWFA0lmI8/6HnsHMfhrrvu4vnnn2f79u0UFhbyq1/9wO23316XD/Hqq6/yxBNPsGzZMsrKyli+fHmruu4moxUEIplpjBmJRPZKLg2FQuTn57c56TQWiyEJpVFPRiaxLItXXnmFNWvWcMghh3D88cen3DQVQFVVjj76aD744AMMwyASiSCEoLi4mHXr1hEOhznjjDM45JBD6v3W99G12fefbAYhnC5vsBglOwHw53cO9WAAp8oEx+zwZOaqrVv54Jln+No00Xr3ZrRpctJdd7W6C22qWJZN1QYZNSdJTkH75BC8//77bNy4scHWD4888giyLHPeeefVE45rD8xEJVkp6APJiuLlpgSaN3IffPBBpk+fzsyZMxk+fDhLly7l0ksvJTs7m+uvvx7wLtjHHnssEyZM4Iorrmj1+K1kBd36Zl40Lt3E4zFUqX2ayO7JW2+9xbp167jwwgvZf//WKUgfc8wxAHz99df88MMPSJJEbm4up5xyCocffniHGGL7yCxd+0rcDmzZ8i9su6Kjh9EmjLIKIIK/oPPEbkWCFovGpZN4ZSUL//lPlpWUICSJw7Kz+ekVVxBowV1eW1ixeBWSq3HQ8T0zkvvQEGPHjm20JNzv9/P444/z+OOPt8tYdscxqwlm56V1m5988glnnXVWXehrwIAB/Otf/+Kzzz6rW6e2weqe6tstwbFtXDtKpA3NNVvKhx9+mJbtJJIJhCOx5uv19B/cG1+g/UImGzZs4PDDD2+1sQIgyzLHHXccxx13XBpHto/OzD6DpVnSV1mzctt/mb3yCWJ2lFxfLgXBHvQK9yagBvApPvyKj6CeTVagD/nhgUR8XlxcCAdXgCK3Ll5tV8RBVdGCHZtctzvCUZED7W+w2Nb/b+/Ow6uozgeOf2fm7ktudpKQQNghQIIiIouIiiwi4m5d6lq1danFWoW6oYjQX23FakVt3aq11qUotSqCioqCssi+hyWEhJD97tvM/P4IiUQC2W4W4Hye5z6Qe2fOnMkkue89c877Rnj/+RfYWF4z6Xew0ci4X/wCV2bbJf1qsB+hmp8rm7NjPuF2FmpURVN9OBJjG7CMHDmSF198ke3bt9O3b1/WrVvHsmXL+POfj33bqbnK95cBGvFdjr/KvbquEVV8vPnea3Rx9uBXv72+8Z1iQNM0vF7vESuABKExImBpxEptIP/YtxZeO/J+sQzIUv3lrYd/ftX1+l+rSNhlSDaZ8ET3UR3VUI9YHHskk6QT1SXSzCbSLHbQNTQULAYL8SYnLnM88eZ4XGYnTpMTlzmFeFsG6XF9SbFnoLnDYPW28DvQRmQ7Slzb1xGqpes6P3ywkKXfrcB9KEvmzydOotcZHZN3YcDQHqx5r4zyA9UdcvzOorK4HNBwpcR2hGL69Om43W769++Poiioqsrs2bO55pprYnqc0oJiAJIy277mUqzdeMfV7NleyDvvv0mJZzd/nj2f0aNHcvpZeW163NpCgi2tni6cvETA0gi30pUUyx6uzK6/WkJHR9MPPdCQkA4LPSRqp2Yc/rxBNnHJwLtItGcwf/58nnvuOfbs3Q069OrXg5vuvoZTzuyHN1DM/oq9zHrsdfZ/cxBFkxlweiY9b03Fo4eQUZBRcYcq2O87gDeq4tMg3MCyThl4eP8vGO45lRWz/kNQCRGSI6hGHYyAWUY2G5BNBmxJTkaMO6/N62dEq71IRhtKUvsELDu++YZP//cRpSYjXcMRLjnvPLIPpaDvKPGHlpLu/LaKcy/RkNvptlBnU15YAkBCWmwDlrfffpt//vOfvPnmmwwcOJC1a9fym9/8hoyMDK6/PnYjCd6KKgD+N+9B/ve0EVk2Y7Incdv8pzr9ZE+b3ULOKb05Y/dYdu7cSamvkM0btrV5wFJcXBPkieXFQnN17t+ozkA2k+bozq3D/xjTZjMzM/nDH/5Anz590HWd1157jXtvfpgffviBMwdezK9+9Sv0LQY+XfhpXTG69X8NHrUYnaZF8Yer8YQqqQoUUeEvpMRbQIl3P5XmQjaVO1EMNoxRI86oBSkMildCqZIwRg0khmsmMm6I+44hI0bG9Fx/KpRfs2rJmNZ2qdgB9m/ZwqK33qJAkkgMBbksdzADr7zyiIm+8+fPZ/78+XVzGQYOHMjDDz9cV0Z+7NixfPnll/X2ue2223j++edb3rddNROhNV09MgPdSaTyQM33ISkztvlefve73zF9+nR+9rOfATB48GD27t3LnDlzYhqwDDlvJAGPF3+1m5A/wIH8zfgrd4B2/FSennDJGCYwhsceno3F2rLJ5l6vl9LSUvx+P4pSs/LI5XJhMpmorq7GbreTkJCAJElUVFRgtVqx2ztXhl2h8xMBSyNUXUVugzoyU6ZMqff17NmzmT9/PitWrCAzM7PZxehk2YDDkoTDkkS6q3f9F5sQf+zYshHra5Ukf6Dy+Yq30EygmyUks4JiMSBbjBitJkw2CxabDYvNit3pxG53YrM5mvVpMrKv5k3KlN02Q8KVxcUsevVVtgWD2AMBJnTvzukzZqAcpWBaZmYmc+fOrRc8Tp06lR9++KGuaOItt9zCY489VrePzdbygnEVpdUs+L91SMgMPLtLm9cO6syqD9b8LCRmxHaExe/3H/F9VRQFTYtttmezzczYa3/8XX7n8WfZ5y7CYDr+VqhoUpRtBeuY9chmZGQkSUaWFOTaf2UZRVZQFAPnjDuLnFN74/f7+eijj9i4cWOj7aekpNCjRw+KiopEsCK0iAhYGqHpWpsELIdTVZV33nkHn8/HiBEj2r0Y3RcFX/DwuocZmTaY0cFTiYs4MftlTFED5qgJi2rCph3+ycsP+FEpxw1UoRGQQwSVMGFDhLAhSsSoopp0NBNgkpEsCrJFwWAxkbzRg1Prwta93+Cq2osrKR2zKw5zQgJGq7VVS51Ld+7k+ddewxCNMsrhZMzdd2NqZELnsYLH2oDFZrPFLOur2WICWQNNpmhXZd3z0UgUg/Hk+pX0lFcgyTaM5tiuUJkyZQqzZ8+mW7duDBw4kB9++IE///nP9ZZ0V1RUUFBQQFFRzYjftm3bgJrMvy291r6qCoymzpFbqLlGDx1HaUkpUVVFjapE1SiqqqJpKqqqomo1/68M7mP9D5vpl9eDN998k7KyMiZPnkyPHj2w2+1omlaXOTkYDBIfH091dTUbN24kPz+fQCDAhAkTOvp0hePQyfXXsYXaKlfIhg0bGDFiBMFgEIfDwYIFC8jJyWHt2rXtUoxuwY4F/OH7P+CL+pAlmaRR2UweelODn/hVVcXv8+L1ugn4fPh9PkL+AGF/kGggTDQYRgtG0UMaUkhHCoMxrGDwyZgiRsyqEYtqwqqZgTjUql1Y751LGCg97DiaJBE1GlFNRjSjCc1sRjeb0S0WsFpwu+KpSEkmLi4Ok9lMUkYGp1x+ec2+msZ7f/sbusnELT/7Gcl5zb8X/9PgsdY///lP3njjDdLS0pgyZQoPPfRQi0dZ7E4r1z0xitce+JrKbSa++ngV6xeVQNDMubf2YsCpPVrU7vHIV12BwRT71SLPPPMMDz30ELfffjsHDx4kIyOD2267jYcffrhum4ULF3LjjTfWfV17++iRRx5h5syZLTpu0FuFydZ562Mdy7gLRzW6TTSs8vjsWdgdNoqLiyksLOTaa6+ld+/6o7q1t4Bqpaen079//5j3WTi5iIClA/Xr14+1a9dSXV3Nu+++y/XXX3/EXIm28mH+hzy6/FEArux7JdOGTsNuOvowraIoOONcOONa98dYjar4vG48B+N4tHcimWoyt/W5jojHTdTjRfV5Ub0+NL8PzeeHQAA9EIBgEKm8gr3OOIplGXNlJWGDAbWykoGTJ2Oy2fjoiTkcsFo5v2/fZgcrRwseAa6++mq6d+9ORkYG69ev5/7772fbtm316vE0V1y8nT6j48lfXsWGD9xIWAGoLPW0uM3jUdBThcka+zd4p9PJvHnzmDdv3lG3ueGGG+oqVsdKOFBNfFqvmLbZmVSUukGCOJdTpLoX2p0IWDqQyWSq+2QydOhQVq5cydNPP82VV17ZZsXoomqUaz6+hs3lmwH47dDfcsOgG1rVZnMoBoW4+AScrnh2pATpmTSQPhde2uT9V8ybhzEQ4P7HHuOLZ5/lq4OlbPzkE0r37mVVNEK218uwq65qdr+OFjzm5ORw66231m03ePBg0tPTOffcc8nPz6dXr5a/OU286gyil6t88/F6Kg54KFodZd/2MjiJRsvDATfO5K4d3Y2YiYbd2BNim1OmM6korVmGH58YR2JiIgaDgc2bNx8xwiIIbeHkne3XCWmaRigUqleMrlasitGtK11XF6x8cfkXqLrKf3a0fKSgpYqrignLYXom9GzWfpqm1d2yMhiN6LLEwvXrWV5dTWogwGW//W2LbuHVBo9Dhw5lzpw55OXl8fTTTze47fDhNblbdu7c2ezj/JTBoHDWlFPo3r9mAnL/09o3gV1Hi4Y82Fxtu1qsvYT8IXQtQFw7Zr1tb1UVbgD+++l7zJkzh2g0SteuJ07AKXRuYoSlg8yYMYNJkybRrVs3PB4Pb775JkuXLmXRokVtWoxuaNpQTk09lTUH13D2O2fXPV/iK+FXQ37V2tNqsk37NwHQL7V5NVgOD1hG33orefv2oYcjGOw2rF1it+KmNnhsyNq1a4HY5pHYvKIAXdEZNOzEvZ3wU2o4gqb6OLhlCW/e+jEmo4LRqGA0GTGZjBjMZkxmM0aLFaPVhtFiw56cTvcJNyB1gpVV4ZCf/z0/DTUaxmA21VWT9kfWsmaZB6PRgdHkwGS2Y7I4MVscmK1OzFYnRpP1uFsdpus6heu8WNQk+uVlkZ6eRs+ePUUCOKHdiIClEVIbJck4ePAg1113HcXFxbhcLnJzc1m0aBHnnXce0LbF6J4/73nmfj+XqBqlZ3xP5q2Zx8L8he0asGwv3Q7AwK4Dm7Xf4QGLJEnEdevW6r4cK3jMz8/nzTff5PzzzycpKYn169czbdo0xowZQ25ubquPXWt/sYJDlZjzyLdoRgndKIOp5iEbZSSTjMGsYDApmCwGzBYFs1nBajFgtxqxWww4rAacViPxNiNOswGrIiN3cHHJYwmWHsRgG0umaw0WS5hIOEIkEiXo9hOOakSiOpEoRFSJsCajH/pdvCEti6Qh46CDz61g8zJ2fbsfa4KGroMa0THadUxd36UyHIEw4Gt4X12X0KMW1IgZLWpGkW2gW0C3IlHzkCUr2L9C0jIwqWNQDFYUxYpisGI0/viv0WTFaLJjNFsxmu2YzbaaIM9oQJJj9z06uMdDybYgF994Of2GxzZvjiA0hQhYOshLL710zNfbshid1WDl0ZGPElbDjP33WABuH3J7zI9zLHuq9mDRLCQ6mne/X9O0mGcQPVbwuG/fPpYsWcK8efPw+XxkZWVx6aWX8uCDD8bs+NtLy1mU5+D0apUEgxktrEFYRQ9rSF4VKaIhRzSUiI4SrXlEgSg174dlDbSpShA2SESNElGDhGaU0IwyHAp+JJOCcigIwiSzyh8gL8lBZpwZq8WI1aJgtxpwWIw4rEbibAbirDWBUKyCIF9xMQZzHqOuHUXKaacfc1td09j9vxdZ8MaHvDr3aczyn7AaVYyKhKwoNQ9ZxmCQsdvMOOLjcCalktIvj65nXRGT/v5UdVkBAFfP/jPxST+ugNE0DTUSIuj3EAx6CAU9hINeIiEv4bCPaMRLJOIjqvnZt3s/jiQdY5yKrvvR9AC65EWnFFUKoMjV6HI1AXYjSWEkNOoufiO0qBFdM6KrZnTdxKHkSkiY6/6VJDOyZEGWzciyBVm2oiiWmofBgsFgQ5LM7Ftvo2CthYQ0Gz1P6TxV34WTiwhYTlJRNcrZb5+NJ+Lhir5XMKXXlMZ3iqFCXyFJUlKz99N1PeZD6ccKHrOystp85dbCXfvY3M3Ma6f0JCu+8RweuqYTCasEA1E8wSjuQBiPP4ovGMUfiBAIqgSDUUIhlVAwSiSsUl5ygA/fe5qtW74lEg6SlJjJpedPp1tSX+SIxt5Fc3l326f1jjMgcxh3TJ5b7zlVrgmE1EPBUG0QhElGOhQMKYdGgoxmuWY0yKxgsRiwWgw1gZBFoatWRmhbPpCCrQm31iRZJnvSTVxmtuEtLcJfXYWvuppoKIgWCaFFw2hRlWg0SlWlh31F1fjC++GzH/jNqWcjOWP/JusuK0I2aDhc3es9L8systmK0WzFSSO3S847+kszZ87k0Ucfrfdcv359Wb9+JSXF+5k1aw6ff/EVhfsPkJjoYtzY4dxx26VYLQrRaABVCRBVg6hqAE0NomlBND2IroVq/iWARhWaFAI9DHoISQ8jaeGa4Ciq1gVGpm4uxgz4gD7D0jGa2rZ0hyAcjQhYTlIHAwdxh90YZSMPjXio3Y9fGiklw5LR7P3aImDpaN9WekjV5SYFKwCSLGGyGDBZDMQBjU15rKys5JRTLuLss8/m+ecWk5KSwo4dO+jVq1fdKqdNN7xGYvZEnnvuRXyhKJ5AhLCmoJgc+AIR/MEowWCUYFAlHFIJh6JEQipqSEMNqzWjQgEV3BG0iIYa0SGioUd1NBUCQOVhfVoPQAqKFMbapWlzgWSDie7jr2vStgDf/fV+Vi1bi2Rrm0m93soyjHYNg8HaJu1DTZmIJUuW1H1tMBgwmeKo9hRQXunjqXnPkJOTw969e/nlL3+JP/xf3n333ZgcOxqNEA75KC9bxvb8u0nL2YnZmhWTtgWhJUTA0giNo6fyDqthCtwFxFviSbYeXysD3tv+HgDThk5r92Pruk4llQx3NL9SsqZpbV6csb1tRmGooe1qz/zhD38gKyuLV155pe65Hj2OTE5nsZjp2TP2b0hRVcMTiOD21wRCr6z8mu0hE89mOLAmpyO3UZFAf0UZNrMOStu0762sxOxs259Fg8HQYCqDQYMG8d5779V93atXL2bPns21115LNBqNyW1Tg8GIwRCP1TaZA6Uvs2/fKyQnn934joLQRkTA0oijpeb/YOcHPLnqSapCVQD0ju/NdTnXMbX31DZP5R8Le9x7ALii37Hv73/11Vf88Y9/ZPXq1RQXF7NgwQIuuugiACKRCA8++CAfffQRu3btwuVyMW7cOObOnUtGxtFHT4oqi1q0pBlOvBGWrSWlVJltnBnfdrVnFi5cyIQJE7j88sv58ssv6dq1K7fffju33HJLve2WLl1KamoqCQkJnHPOOTz++OMkJTX/tt1PGRSZBIeZBEdNLSfvFj8mW5juZ7dtwpmAx407qPDmLZOwmhWMZiNGkwmj2YzRbMVktWG0WDAcWoVksthJGXQGcb1OaVr71T6scS0rFthUO3bsICMjA4vFwogRI5gzZw7djjLRvLq6mri4uJjP8ZIkiZTk88jf9SQ+307sdpFzRegYImBpjH7kSqGXN77MU6ufYkrPKVzS5xIO+g+ypGAJD3/7MN8f+J7HRz2OInfuUYACdwEG2YBZabggYC2fz0deXh433XQTl1xySb3X/H4/a9as4aGHHiIvL4/KykruvvtuLrzwQlatWnXUNuuWNHdp3pJmqAlYTqQRlv/tKQQkLujV+tVOR7Nr1y7mz5/PPffcw+9//3tWrlzJr3/9a0wmU13l4okTJ3LJJZfQo0cP8vPz+f3vf8+kSZNYvnx5zL/f+3UzPeSGl4zH0ikXXYv98w8I+gMEAiECwShuj4dIpJpwVCeiQUSVieo/nl+6679c/eJHTWo/6AkTH+OijYcbPnw4r776Kv369aO4uJhHH32UM888k40bN+J01i9nUFZWxqxZs+olOYwlp7NmNV8gWCgCFqHDiIClETp6XSIyXdd5aeNLPL3maW7LvY07T7mzbrvze57Px7s/ZvrX05GQmDVqVsyDFl3XWbx3MR/u+hB/xM+ApAFcM+Aa0uzNX2JY4i8hrglF2iZNmsSkSZMafM3lcrF48eJ6zz377LOcfvrpFBQUHPWT4I7SHQAMzGjekuZaJ9IIy7JKD6kYyIyLfT2dWpqmcdppp/HEE08AcMopp7Bx40aef/75uoClto4O1GTzzc3NpVevXixdupRzzz03pv0pkp2MNoZj2mZD0kdOJX3k1GNvpOvokRARfzX//f0NSM24fRTyaG2a1fbw37vc3FyGDx9O9+7defvtt7n55pvrXnO73UyePJmcnJwW10BqjM2WDYAsHX9VqIUTx4nzl7+NaLrGd8Xfce+X9zLunXE8veZpfpn3S+4YcscR207qMYk/nPkH/rf7f8xaMQtdj928BFVTefjbh/ntl7+lKlRFnDmOD3Z+wKULL2VbxbZmt+cOu0m3xy7xWa3q6mokSTqicOPhdlftxqpZSbA3fzLkiTTCous6mzGS18YfG9LT0+vqItUaMGAABQUFR92nZ8+eJCcnxySb7+Gi0QgHjPF0tRx7ZK/W/Pnzyc3NJS4ujri4OEaMGMHHH39c93p+fj4XX3wxKSkpxMXFccUVV1BSUtL0DkkSksmCKb4L/hA44xxN2i3oc6NFZJxJ7Zc0LT4+nr59+9a7Jh6Ph4kTJ+J0OlmwYAFGY9sEFAZDTb2nSNTdJu0LQlOIEZZGOA9Vki1wFzC512TO7Homw9KGHXX7iT0mElJDPPjNgxR6Cjm1y6mk2FIYmzmWFFvjSys/2f0JnxV8RpI1iQt6XkDv+N7sde/lhfUv8HnB5zwx+om6JcjVoWpu+fQW7v7ibv578X8xyk37Y+UOu1F1lZ7xzZ9DcizBYJD777+fq666iri4o4/e7PfvJ1Fu2SfTEylg2VhSSrXZypiEti0iN2rUKLZtqx/Ubt++ne7dux9lDygsLKS8vDym2XwBSir2o0kKGY74Jm2fmZnJ3Llz6dOnD7qu89prrzF16lR++OEHsrOzGT9+PHl5eXz++ecAPPTQQ0yZMoUVK1Y0eyTOHdTpk9i0OTtVpfkAxCW1X1p6r9dLfn4+P//5z4GakZUJEyZgNptZuHAhFkvbzafxemt+fqwWkYZf6DgiYGnEjOEzuH3I7aTamv5JamrvqdiNdv655Z+8s/0dKoIV/MnwJ27Pu52rB1yNQT7y2+6P+Jn93WwW5i8kNzmXNQfX8M8t/6x7Pd4czx/G/IEJ2T9OVHSZXdyWexu/WfobygPlTb419F3xdwDkJscuU2skEuGKK65A13Xmz59/zG0Phg+S1YrlkbGeVNhR/re7EPS2nb8CMG3aNEaOHMkTTzzBFVdcwffff8+LL77Iiy++CNS8ET766KNceumlpKWlkZ+fz3333Ufv3r2ZMCG2E2P3V5YAZjJcTQsMpkypnx9o9uzZzJ8/nxUrVrB//3727NnDDz/8UBcgv/baayQkJPD5558zbty4Jvcr4nMTjBqIS+3SpO0rD9YELAmpR662ipV7772XKVOm0L17d4qKinjkkUdQFIWrrroKt9vN+PHj8fv9vPHGG7jdbtzumtGPlJSUFgf1kYibaNSNxZKBdGjxQGXVSrZsnY7F0rVuLosgdIQT4y9/GzIr5mYFK7XGdR/HuO41fzCrQ9U8+8Oz/Gn1n/hw14dc2e9KspxZhNQQG8o2sL50PevL1hPVoswePZsLe12Iqql8V/wd5cGaQCQ3JbfBCbIuc81QrTvsbnLAsubgGgBGpLeukGKt2mBl7969fP7558ccXdF1nSqqGOFs+bFPlIBlebWPNF0m3dm02xAtNWzYMBYsWMCMGTN47LHH6NGjB/PmzeOaa64BQFEU1q9fz2uvvUZVVRUZGRmMHz+eWbNmYTY37dZNUxV5KoE0MpOaX+RRVVXeeecdfD4fI0aMID8/H0mS6vXRYrEgyzLLli1rVsDi2VtTENSZdvRRp8NVlxUCEJ/adhNQCwsLueqqqygvLyclJYXRo0ezYsUKUlJSWLp0Kd99V/PB46eVknfv3k12dnazj1dauoT1G34FaJjNacTFDSEY3IfHswmnYyCDB/8VSToxRjeF49OJ8Ze/k3OZXTxwxgNc2OtCnlrzFDOXz6x7Ld4cz+Dkwfw85+dMyp5EtisbAEVWGNl1ZKNtpztqhuwP+g/SN6Fvk/qzrWIbEhLdXU3743wstcHKjh07+OKLLxpdBru/fD9hJUyvhOYX+dO0mpw4J8ItIU3T2CwZGWk4ep6fWLrgggu44IILGnzNarWyaNGidunHfp8PZ9SHs4m3hAA2bNjAiBEjCAaDOBwOFixYQE5ODikpKdjtdu6//36eeOIJdF1n+vTpqKpKcXFxs/rl2V8zL8SZ2adp25eXIJs0bI6mjci0xFtvvXXU18aOHRvTOXIAXu9WQCMv92+UVyzD79uJzdaLHtl3kpw8rm7ERRA6ighY2tHglMG8POFlvGEvFcEKJEki05FZtwqpJWonzv5qya9Yfe1qTErj8yEKPYXYjfYmte/1eutN8tu9ezdr164lMTGR9PR0LrvsMtasWcOHH36IqqocOHAAgMTEREymI/uyqajlS5ojkQhw/I6w6LpOcVkV2wuKWb2/GI8ziS3RKLcv24bdoBx6yDgNCk6Tgcndk4g3n1irMvaHImSo1c3ap1+/fqxdu5bq6mreffddrr/+er788ktycnJ45513+NWvfsVf/vIXZFnmqquu4tRTT23+/JXivQA4ug1o0vbeijLMdlr1u9vZWKyZgITJlEK/vg93dHcE4QjH51/+45zD5MBhis1tAFmSybBnUOQrYugbQ7mg5wU4TU4SzAkkWBJItaUyOHlwvQm/FcGKJq8QWrVqFWef/WN2y3vuuQeA66+/npkzZ7Jw4UIAhgwZUm+/L774grFjxx7R3raDNZP3BnUd1JzTBGqCJ6gZEeisAuEoX2zYy7aCYgxhHxWVlfg9VWhBL2bVj+FQ5uRqiw3rkDEUGM0UhPwQOfKNb+bOItafl4fVePyPKNUqUmW64m/WPiaTqe62x9ChQ1m5ciVPP/00L7zwAuPHjyc/P5+ysjIMBgPx8fGkpaXRs2fzJpR7Sg9gN0Qw2OObtL2/yoM57sQKJrukTqag4O9s3vI78nJfwmoVE2yFzqVZAcv8+fOZP38+e/bsAWrqXDz88MN1+QLy8/O59957WbZsGaFQiIkTJ/LMM8/Qpcuxh03/+te/8sc//pEDBw6Ql5fHM888w+mnH7t6q/CjRZctYnP5Zt7b/h47qnbgjXipClZRGaokqtVUL+vq6MrknpO5uv/VhNQQ2XHZTWq7saHn5g5L767ejU2zEWdtWt2cw1VUVAAcc45MewiGo2zee4AdBQfYX1JKRUUFAW81hLxYtQAGqeZ7oukQki3oJjsWVwquhAS6JCfTLSOVft3S+HO8HUmS0HUdf0SjKhihOhKlOqxy06qdVDoU+n/6A4/1yuD6/s2vu9QZFWIFo61VbWiaRihUP/FccnJNArfPP/+cgwcPcuGFFzarzarSQnxRI/+dfwdmmx2z3YHFHofFHo/VEY/VkYQtLgW7MxWTNZ6A248toWmjlG1B06Koqh+DwRGzWzWybGRgzp9Zu+4mvvt+Ij173kNW5nVi3orQaTQrYGmLJYb//ve/ueeee3j++ecZPnw48+bNY8KECWzbto3U1PbLcXC8y0nKIWdE/Vwbuq5z0H+Q9WXr+a74O17f/Dovrq9ZGRJvie+AXtYsaU6Wm58dNDs7m717a4btD69ge+mll3LfffchSVK94Xld1+sFU4f/v3Y7SZLQdJ3KkIzNGYfJZMBsNGA2GjEZFIJBP3v3H2RfSRmlZRV4PdXoQS9mLYhSF5RIRBULZosTW5euJCUmYnPG0zurC8P6ZmEyNf4pXJIk7CYFu0mpK2S4+YJTeXZTIU8VHOT+4oO8vb+C507vRXdn5x1daortpjTOk8ubvP2MGTOYNGkS3bp1w+Px8Oabb7J06dK6OTevvPIKAwYMICUlheXLl3P33Xczbdo0+vVr3i3HJFMh8dY49qzejRoCNSwBR7ndI+mgQ3xW29V/aoiu6xQUvMi+wn8QCtXcerVYsujb5wFSUo5R9rkZHI6+nDH8Y/J3/YkdO2ZTUvJfBg9+Dou5+ckpBSHWJL2VM7cSExP54x//SFZWFpMmTaKysrLuE3B1dTUJCQl8+umnR52xP3z4cIYNG8azzz4L1Hx6ysrK4q677mL69OlN6oPb7cblctXV0hAaVhGs4MFlD/L1/q/JdGSyYOoCLIa2rYXyU2NfHktve2/+fuXfm7VfaWkp69at45NPPgHg4MGDvP7661x//fUtWhHRHBFdJihbkS127E4XKclJdM/oQr/u6fTMaPkS0qYIRlXGfbqBclQe2hwi3m7CkG4nvruLQf1TsFmPo9sSmsqITz5mQpyRmaObtlz65ptv5rPPPqO4uBiXy0Vubi73338/551X8wY9ffp0Xn31VSoqKsjOzuaXv/wl06ZNa/7ckpkuPJm9cP5izaGuRgn4yvF7Sgl4yvB7ywl6qwh4qwn53RQV/o/kvjopXXNQFBuyYsdgcNQ8FAcGgwujMQ6DMR6DwYXJmIDRmICi2Fo876W09FPWb/gVGelX4IofiiybOXDgA8rLl5KX+yLJyee0qN2jqapezYYNd+J05jAk76WYti0ItZrz/t3iOSyxWGIYDodZvXo1M2bMqHtOlmXGjRvH8uXLj3rsUChUb0i4Nv+AcGyJlkSeG/ccy4uWc9fnd/Hkqid58IwH2+34UTVKlVRFN2fz846kpKQwbtw4hg4dit/v56GHHqJbt278/ve/P2I0BepPhvzp6F7ttrqu8+9FX+OvKGHyxZcTikSJRlTC0SjhaBTZaKF7egr9uibhsHRMYGAxKCw7fwj/W7yDvLIDqOUBlL0BWFHG6rg9DP3t6djMx8dUNM1byn5zKpnWQJP3eemlY79Rzp07l7lz57a2awDY9+fX/V9WDNjjumCPa/h29ldf/49IxE1F5bdASz7zyUiSjCQphx5GZNmIJJmQZRMGg4OBOU9ht/84F6dg3yu4XKcxYMCcuue6pE5m3bqb2bFzDklJZ8d0EnC8ayjdu/2CHTufQFX9KErrbuUJQms1+y9dLJcYlpWVoarqEXNcunTpwtatW4/ahzlz5tS7LSA0z4iMEUwbOo2538/lupzr6BbXtonLau0u3Y0qq/RJatrS0YYkJCRgt9tZuHAh99xzD337Nm0p99GEPv4G1WDjzLzWtdPWMg7dCope25+kbBffv/gDfUvC7J21nP1npDLuguavumpvpdUHCMsmujk615wINeJDAcoGDqOpN6HHnLmy3teaFiUSdRONVBKJVBKJVBOJVBGNeoiq1ahRH9Gol6jqQ1X9qKofTQ2gakE0LXToEUbTvEQiYQKBIAdK3qdXz3uIRKrYW/A3qqq+Z/Cgv9Y7riTJZGZex7r1v2DVqkuIqn6iUTc2Ww+yMq8jNXVii78vXu82du1+mjhnrghWhE6h2QFLeywxbMyMGTPqVqtAzQhLVlbLM6eejKb2msr/rfw/VpWsareApXZJ84C0pi0dPZr333+fqqoqbrjhhlb3KRL0o5g7/7wQ2XioAGdUw2E3MfbuYWxeXUzll/vov+wg5SOySErq3G8q+6orgQQy49quwnFLhCs2YAWsPRvOU9MUsmzAbErEbGp9McSSgx+zceOd6FqUrdse4sCB99F1jR7Zd5GScuSttKSkMWRl3UQodACzKRWDwUlV1Uo2bLyDAf3nkpFxeYv6UVT0NgaDk1NO+UdrT0kQYqLZAUsslxgmJyejKMoRxcpKSkpISzv6JC+z2RzzDJwnG4fJQXZcNlvKt0DLBzyaZXvZdiRdon9G/1a189JLLzFp0iQyMlq/ckYPBzEntl3yr1iRlJqgX4vWLIuWZZlBw7ry0e5KKKskHOMkYm2h0OsBEshM6FyT6cNlm7AChsScRrdtD4FAzeTyvQUvYDankZV1E1mZ12EyNZyUUZIU+vZ5oN5zuq6zbdtDbN32IBZLBomJo5rVB13Xqaz6nri4XAyGtqskLgjN0eqb361ZYmgymRg6dCifffYZF110UV17n332GXfeeWdruyY04tQup/Lp3k/5zdDfNDmRXGvsqd5DnBaHxdjyib579+5lyZIl/Oc//4lJnwxaELujbVPjx4JiqLmNoqr1M+PK0ZpApfTZtaztH4cuS8iKBLIMioQkS0iKhCxLSIpc839FRj70XM2/NV8rsoQppGKsjqBnOZBNMgaDjMGgYDYbMBokrGYDFpPSolHT/cEQzqiPOEvnGtFSK7cDYE7J6+Ce1PB6anIVJSefx+BBzyA3sajp4SRJom/fmQQC+9i8+XecccaiZgUe4XApXu9mune7pdnHFoS20qyAJRZLDM8991wuvvjiuoDknnvu4frrr+e0007j9NNPZ968efh8Pm688cYYnqbQkFsH38rCnQuZvWI2j49+HLmNU28XBYpIURqvWH0sr7zyCqmpqUyePLnV/fGHwpiJEu/q/CvLauMDTa0/kjL47O7s2+PFENVI3e5G0UDRdRQNZF3HoIGig7GVAzDRQ4/a6bIBBUKKRFiRiCgSUUPNQzXIqAYJzSCjG2semGQwKkSrE7laq8a/cCGS2YRktSBZLchOJ4a+A5BifOu4qfTKXaiKhNKCmmGxpqohPJ6NAAzo/3iLgpVasmxgwIA5rPhuAtu3zyIn5/+Ouq3fvxd/YDcOe18sloxDq5wS2Vf4GomJo446uiMI7alZAcvBgwe57rrr6i0xXLRoUd0Sw23btjFjxoy6JYYPPPAA06ZNq9dG7S2jWldeeSWlpaU8/PDDHDhwgCFDhvDJJ580mmxOaL10RzqzRs1i+tfTCUQDPD768TYdaSlVS8mzt/xTrKZpvPLKK1x//fUxSc9fcKASgOT42AYsbZEIUa69JaTVjzy6psfR9feNF5LUdR1N1YmqWs0jqhGJ6qiqRkTTUFWdqKahBqLolSHC8Wa0Q9tpUY2AJ4SkyKgRFTWsoYZVtIiGHlHRIxpENKRDDyWqYfRHMUQ0jKqOMapjjur0Vk1YVRMVOw/vWQSoIGncEqzjxrfqe9RSUvV+QjY7tk6QZr+g4EWCof2cNvRdTKbWz/WxWDLo13cmm7fcR0LCcNLTLz1im927n2XX7qcOfSXRLesmevW6j7y8v7Nu3S2sWn0ZuYNfwOHo3BPThRNfs/7qx2KJYW2W3MPdeeed4hZQBzm/5/lYDBZ+v+z33PHZHTx37nPYWpmJtCGhSAiP5Kkr7tgSS5YsoaCggJtuuikmfdpfWpM5Nz0lISbtQdslQlSUQ5Nu1ZYVS5QkCcUgoRhkOnL2l65q6EE/us+H7vMS2b2H8k9NSB1YfkDxlBJtRjHGtqKqIYqK36NLlwtxuU6JWbvp6ZdScvAjdu3+yxEBy759r7Fr91N073YbXbteQ8nBD9m1609UVa0kO/t28vL+xqpVl7Bh412MOKN9CmQKwtGI8psC53Q7h+fHPc/m8s3c8ukthNRQ4zs105biLeiS3qolzePHj0fX9VYvZa51oLwKgKzU1q/sqPXnP/+ZW265hRtvvJGcnByef/55bDYbL7/8cqvalY4ywnK8kRQZ2e5ASe2CoUcvJFvN/CElJXbXoLmMXjfaUfKtzJkzh2HDhuF0OklNTeWiiy5i27ZtR2y3fPlyzjnnHOx2O3FxcYwZM4ZAoOn5ZjQtyqbN0wiHD5KVeV2Lz6UhpaWLqar6HovlyNpAxQfeIzVlEr1734fV2pXs7rdx6ilvArB+wy9ZteoSAFJTm5boTxDakghYBACGpA7h5Qkvs7ViK4+veDzmpes3F28GYGDGwJi22xoVVdVoOmQkx8ekvdpEiIcnSWxKIsSmMNSOsBznActPqWVVABjSm1aMM9Z0TcUcCKHHN7y0/8svv+SOO+5gxYoVLF68mEgkwvjx4/H5fHXbLF++nIkTJzJ+/Hi+//57Vq5cyZ133tnkicmaFmbLlvspK1vCoEHP4HTGbrXS5s2/Y/2GX5KQMJIheUdml45GPZjN9YO1+PjTOO20/zDijM8YPOivDB36Nj17TDtiX0Fob8dHikyhXQxKHsQjIx/hgWUPkG5P5/Yht8es7fyKfBRNoWdq86rotqVqt4ewZIpZnqCWJkJsito+/nTSbSwcXqfpcLfffjuzZs3ikUce4dNPP6WgoICUlBQuuugiZs2ahcvlavWx1Uo/MhEkV8dMeA1XbcOs6SiJDY/a1ZaCqPXqq6+SmprK6tWrGTNmDADTpk3j17/+db1SIk2tZaTrGl8srclLlDPgSVKSz23JaTSorOwLig/UrKbLHfzcEUUMS0o+JBAoICHhyDlQkiRhs2Vjs2XHrD+C0FpihEWo58JeF3J73u3MXzef/d79MWu3wFOAS3fFZLJsrPh9PjTD8ZHPRzbUjLC0xS2hlStXUlxcXPdYvHgxAJdffjlFRUUUFRXx5JNPsnHjRl599VU++eQTbr755pgcW60OoxiqflwG1c4ipT8AoKQMatL21dXVQE0NNahZiPDdd9+RmprKyJEj6dKlC2eddRbLli1rUnt+/24AunX7BenpFze3+8cUCtXkt+qRfVe9EVOfbydbtsxg46ZpdOkyheQYBkmC0JY6z7uH0Glc1Psinlv3HLuqdtHVceR975Y4EDxAiqF1S5pjLRL0YTDFboJxSxMhNoWiyERpm1tCKSn1r8vcuXPp1asXZ511FpIk8d5779W91qtXL2bPns21115LNBptdQCqVkdQrOFWtdEa0bKaW5Xm1FMb3VbTNH7zm98watQoBg2qCXB27doFwMyZM3nyyScZMmQI//jHPzj33HPZuHEjffoce86WptXMF4t3DW3NaTQoI+NyQuFS9ux5hpKDH5KSMhGvdwvl5UsxmVLo03s6mZnXx7T+kCC0JTHCIhwhqkcBMCmmmLVZrpaTbu2YeQpHo0eCmK2xC1gOT4RYqzYR4ogRjS89PhZZrl0l1LZzWMLhMG+88QY33XTTUd/IaquqxmK0LOo3YXDF7uesufSKfCIGGYMjs9Ft77jjDjZu3Mhbb71V95ym1azauu2227jxxhs55ZRTeOqpp+jXr1+TJlo7HANwOHIoOfhxy0/iKCRJoWePuzht6LvEOfM4UPwfwqFScgb8H6NGfkm3bjcjy+Izq3D8ED+twhEiagQAYyuSVh0uGA7ikTx0c7VPzaKmUtQgthhnuW2rRIiKoeazRVtPum2sTlNZWRmzZs3i1ltvjc0BJYlgiYnKp19DMsrIZgXJbESyGJEth5LL2SzIVhuS3U7EZEBJcGF0uJDl+nMy1GA51YtuQ5INSNYEJEsSsjUZxZaKbE/DYO+K4uiKZLJDbTBWXUjYaqWxn/Q777yTDz/8kK+++orMzB+Dm/RDk4VzcupPlB0wYAAFBQVNOH0Jg2JHP/QhoS3ExeUycOCf2qx9QWgvImARjlD7yVrTW5bz46e2FW8DCXon9Y5Je7EQCEcw6xHi42KbNK6tEiEq7bRK6Fh1mtxuN5MnTyYnJ4eZM2fG5Hj2/iqBfJVwuRldNaJpRnTdjI6FHweAVcADeNB0jY8KX8QXrcYoq5gVHZMBTEYZk+YlxeRmTNpuJB2OdqNDlSWiJgNRkxlHwI8v+egjf7quc9ddd7FgwQKWLl1Kjx496r2enZ1NRkbGEUudt2/fzqRJkxo9f1UN4fasp1fKbxvdVhBOdiJgEY7gNNXUHKkOVcekvS0lWwAYkN66Ks2xVFBSiSxBUkLrV7r8VFskQlTaIQ/Lseo0eTweJk6ciNPpZMGCBRiNsRl9c177MxqqcKNHI+h+D7rXg+71ovl9FK0oxLAnhVFj80B2E/b7CAX8hANBQsEQRaU6+6vsjHl2FUgQCZQQ9e5H9Rej+g+i+Q+i+UvBVwaBCmR/FZGgB2nINUft3x133MGbb77JBx98gNPp5MCBAwC4XC6sViuSJPG73/2ORx55hLy8PIYMGcJrr73G1q1beffdd4957qoaYvPm36LrUZKTz2nNt1EQTgoiYBGOkGRJItWWypeFX3Ju99avINhZvhNFU+jdpfOMsNRluU2OXZbbtmRQ2v6W0NHqNLndbiZMmIDZbGbhwoVYLC0vXtlUksGIFJcIcT8mlAuuqcKmawy88bfIhiMz4/5n3i0Etu5HVmr+rBntXTHaWzdpfP78+QCMHTu23vOvvPJK3W2z3/zmNwSDQaZNm0ZFRQV5eXksXryYXr16NdhmKFRKaemnFO5/nUCggEGDnsFm69HgtoIg/EgELMIRJEnipkE38Yfv/8Cg5EFc1veyVhVGLHAfWtKsdJ4ft5KymtGjrC7HR8BSV/ywjeKVo9VpcrvdjB8/Hr/fzxtvvIHb7cbtdgM1q4sUpf1S6keqAoR0rcFgBcBbXoU1PrbL1JuaQHH69On18rA0pLz8S7Zue5hgsBBJUkhIGMnAgfNwOvrHoquCcMLrPO8gQqfys34/Y1fVLmatmMW/tv6L3JRcspxZdI/rTp/4PmQ5s1Dkpr1ZFQeLSTa0vpBbLJVVVaPrkJ4U39FdaRKldl4RbROxHK1O05o1a/juu+8A6N27/gjZ7t27yc7ObpP+NET3qESUoy+B9lcFSOzWcSn+jyYYLGbb9pmUlS0hIWEEvXvdR0LCCEymztdXQejMRMAiNEiRFR4a8RATe0zkne3vsLViK4v3LMYT8QBgUSz0ju9Nv8R+nJ52OqMzRxNnangCa5lWxjDnsAZfC4VClJSUsGXLFiwWC0OHDsUR45U7DXG73YQlY6dKZHcsity2k25r6zT91NixY2NepqGl5KCEZjn6RPBgtUZccucKjDUtwtp1NxKJVDNo4NOkpk4WeU8EoYWOj7/WQocZljaMYWk1wYau61QEK9hRtYNtFdvYXrmd9WXreW/Hj4nF7j3tXkZ3HU1PV08kScIX8uGVvGS7slFVldLSUgoLC+seZWVl9Y63dOlScnJyGDlyJF27xiZpXUN8x1GWWzh85VYHd6QDmVULobiGl//6PaWoIZkD+Vv5/K2HsTpcWB3xWB0JWB2J2OJSsMWlYbElxKwUQ1NUV6/B59vB0KFvt0lyOEE4mYiARWgySZJIsiaRZE3ijPQz6p4/4DvAv7b+i5c3vsyTq57kyVVP4jQ6cZld+CI+kCB/dT5zv59LJBJBkiS6dOlCdnY2o0aNIi0tDYfDgdfrZd++fSxevJhNmzahKApnnHEGiYmJJCYmkpSUhNPpjMkn1HDQj9FkbXU77a2zjHa0NzUUwSLZURMbviWkGEw40qC6UGdt/mp07Sg/I5KOYtIYNH4I466d04Y9rmEw1Iw6VlWtIs6Zixyj3EaCcDISAYvQamn2NKYNnca0odPwR/ysK13HpvJNeMIe3EE3pUWljO03lrSUNDIzM8nIyMBkOjK7qdPpJD09nVNOOYUPPviA6upqNm3aRHV1dd0btd1uJycnhxEjRtTVc2kJPRzAHC/mELSWrupES/1Ein0gS1j6JyKbYz8Rt2DRKoyShLVLw8vQzVYXtz39IVAzgTgScuNzH8TvPojfU0bAW0nAW0XQ52bdh8upKjkQ8z42xOHoT0bGleTn/x/Fxe8yeNBfcTgaLrQoCMKxiYBFiCmb0caIjBGMyGh5Knqj0chll11W93U0GqWyspKKigr27NnDhg0bWLduHdddd129rKPNoahBbPa2nysTc51g/oPqDeP/oZTg9grCez3oYbXuNcmkkPLLXEwZrf/ebpz9PpIXdIOOElYwSglknj2k0f1kWcZsjcdsjSexy5HBwdqF52NxOIiEA20+yiZJEgP6P0Fm15+zafM0Nm2+h9OH/VfMYxGEFhC1hIROz2AwkJKSQr9+/ZgwYQJ33XUXycnJfPTRRy1qLxCOYtYjuGKc5bY9dNTbnK7rhArcVLy1leI531P9yW6QJJznZJFyay4ZM0eQescQDIlmKt7a2urjqaEILnfNCJgOaIpGVXIlirl1t1TUaBg1KrHt89385eeXs/7r11rd16ZwOgeQ3f12vN4tVFR81S7HFIQTjRhhEY47ZrOZM844g//85z94PB6czoZypR5dYWkViqSTlCAClsPpqoZnaSHBHZWo7jCySUZJsKC4zIT3eYjs96IkWnBNzMY+tAuyrX7wYMpy4jynGxVvbkX1hlEcLS9q6NlXgiRJOM7KoPvE01t7anUUg4nLZ95PweZlfPfWt4T8npi13RhNq5l/s3bdTZx7Tn67HVcQThRihEU4LvXq1QtFUXj//fcpLS1t1r5FZVUApCbGx75jbUhDb9M7QlXv5+P+vAAlzoQ1JwlTtgs0nfAeN4rDSNINA0m79zScZ2YeEazU9dETBkVCtrTus5B3X83qMVtm7Jcpd+s3hsz+NZPGXSlZMW//aLp0mdJuxxKEE5EYYRGOS3a7nSuvvJIPP/yQv/71r8THx5OWlkZ2djaDBg06Zi6XsooqANJakTTOHYywq9RHYaUfoyKTnWSnT6oDWW6biKJ20nFbxSv+DWX4Vh4g/pLeOE4/ejHAxoQLvRjT7UiG1n0WChRXY0UmLrt1RSOPpqp0DwAJXXq2SfsNURQz/fs9ztZtDxIOl2Eyda6cMYLQ2YmARThu9e3bl1//+tds3bqVoqIiioqKWLx4MV9++SW/+MUvSEpKanC/yuqa1PJdU5uelr+oKsCqvZWs3F3Bd7vL2V7iPWKb7kk2rhuRzc/P6I6plW/YP1WbfyXWkzW1UBTf9yVUf7Iba24y9mFprWovtNeNdUDrV19Fyn1IqozZYW/WfnPnzmXGjBncfffdzJs3D4DbbruNJUuWUFRUhMPhYOTIkVx2bjagE5/SvvWtoqoXSTIhSWJ5syA0lwhYhOOawWBg0KBBDBo0CACv18sLL7zAt99+y5QpDQ/Bu90ewrqC3dJw4jhd11m+q5z/riui0hdhfWEVRdVBAHok2xneI5HbxvSiX5qTrAQbUU1jS7GH99YU8sRHW3h75T6eu/ZUeqXEbhVSLPOv6BGNcKGHwIYyfKtL0CMq9mFpxF/Yq1UBka7rqO7QUW8XNaRs6x6ivgCy2YhsNqCYjSgWE2pJkNBRagYdzcqVK3nhhRfIzc2t9/zQoUO55ppr6NatGxUVFcycOZPfznyZ3507hu8//gtmqwOT1YnZ7sRsdWGxxdc87ImYLHExSzSn6zqFhf+kS+r5GI2xrxIuCCc6EbAIJxSHw0FOTg5btmxB1/UG34B9fh9hueFgxReK8qt/ruGr7aX0SLaTZDcxaXA6w7ITGdo9gRRnw/uN7mNmdJ9kbjmzJ3f9aw3nP/01o3onc2q3eAZnxpNoM5GZYCXeZmxRUFA7wtKat85oWYDK93cS2lMNUR3ZbsQxMgP78HQMMSgaKEkStsEpuL8owNTdiaX3sUewPPtLCbxS0OD3I4EU3P39TT621+vlmmuu4W9/+xuPP/54vdduvfXWuv9nZ2fz+OOPk5eXR4Xfz4o3v26kZR3ZqCMpYHXJXP3oCzgTWpqBWScUKsbh6NfC/QXh5CYCFuGE07dvX7777juKiooaTO8fDvjRj5KW/9kvdrJydwV/u+40xg1IbXZwkZMRxwd3juYfy/ewPL+c+Uvz8R2Wp8SkyCQ7TGQm2shKsNGni4NRvZIZnHnsT9w6ek3ZwxYOgISLvJS9tBHZasA1qQfmbFfNXJMYz7lJuLQPqjtE5bs7SPvtUCTj0UdJfPvLkCSJYK6GLSMRLRJFC6voYRVdgr7nD2/yce+44w4mT57MuHHjjghY6h3T5+OVV16hR48ePLpgERIRgr4qgv6Kmn8D1YR8bsIBD6GAj3DQSyTgp2B9PpUFAXzu0hYHLJIkk5R0FgdLP6V791sb30EQhHpEwCKccLKzs4mPj+fdd98lJyeH1NRUHA4HDoeDhIQEIuEQiqHhJbefbznIlLx0zstp+WRPh9nA7WN7c/vY3oSjGqXeEOXeEIWVAUo9IUrcQfZVBthZ6uXjjcXM/XgruZkubhiZzYV5GRiUI8dRau8ISS2MWKo/3o1sM5DyyzwUe9vNn5AMMvEX9qLkqTUEd1RhzWl4HhFAqMqHAiSd1pOEvi1frfPWW2+xZs0aVq5cedRtnnvuOe677z58Ph/9+vVj8eLFh7ItmzCa7I0GIcs/fJJvX19KfHL3FvcTIClxDNt3PIbfvwebLbtVbQnCyUYELMIJR1EUrr76apYuXcr69evxeH7MtWE0GrFEIlRauxJRNYyHBQcHPUG2lXi4dUzsVo6YDDJd4610jbeSmxl/xOtRVePL7aX8Y/le7nl7HU9/toN7zuvL1CH130DrApYWxCvR8gCh/Crip/Zu02ClliHVBkBgY9kxAxYOjTyFqn0tPta+ffu4++67Wbx4MRaL5ajbXXPNNZx33nkUFxfz5JNPcsUVV/DNN98cc5/D+arKkQ0aFnvTJ2o3JC3tYvYWvMju3c8wcOCfWtWWIJxsRMAinJBSU1O54oorAAiHw3i9XrxeL1u2bGH5yjVsdRs47fEljBvQhfEDu2A2yLy0bDcuq5FzB6S2Wz8Nisy5A7pw7oAubNxfzbwlO7j7rbV4Q1GuGf7jp3ntsGXNoT3VRMuDmLo6MHSxHfO2leoNU/76ZhSXGdsp7XNedf1pJLrKGJPLnq+WEvqojLRh/Vt0rNWrV3Pw4EFOPfXUuudUVeWrr77i2WefJRQKoSgKLpcLl8tFnz59OOOMM0hISGDBggVcddVVTTqOv7oSo61FXazHYLCT1mUq+4v+ha6rSFLs6y4JwolKBCzCCc9kMtVVfO7WrRvjx49nU5GbRZsO8PHGA7y3phCALnFm/nhZLvG2lmdobY1BXV38/frT+PW/fuClZbvrBSw6oCDRbVUZpavK6p5XEsxYc5Iw94xH1zTU6jB6MAqShBaI4ltVgiRDym25yKb2e3M0ptmRDMcOWIxxVqJ9JOJ2JlK6Pp+U3F7NPs65557Lhg0b6j1344030r9/f+6//34U5chz1nW9ptRAKNTk4/jdXkz22Hz/kpLOYs/e53B7NuKKy4tJm4JwMhABi3DSkSSJQV1dDOrq4rfj+1FQXrMaJSvR2imK0o3qncTCdUUUVQXIiLei6zrvrtpHPFH6dYun5/k9MWY4CO9xE9hcjn99Gd5vigCQjDKSRamJcCQJ+6mpOM/JalWa/JYwdLERLmr8Vk/vq8ey69HP8PxrA0kDeyA3MH/nWJxOZ92S9lp2u52kpCQGDRrErl27+Pe//8348eNJSUmhsLCQuXPnYrVaOf/885t8nKDHj9nR+pVU8GOKflnqmMBYEI5XImARTnrdkmIw1h9D43PSmLdkB1P/+g2XDc1kb7mPjzYc4Orh3Zh84cC6eTeWvglY+iYQf2EvNF8ESZGQrIZOEXRZByRS8dY2Igd8GNOOnvzNaLdgGpOEfVmEnW8upe/Pz4lpPywWC19//TXz5s2jsrKSLl26MGbMGL799ltSU5t+iyzkDZPQ9dgJ8VTVT2npEvz+3ewteJ6MjJ/RNeNn2Gy9kGUDuq7j8W4if9eTmE1dxPJmQWgmSY9lRqoO4na7cblcVFdXE3ccVuAVhJ86UB3kyU+3sXTbQRRZ4vfnDzhiIm5npkc1Sp5ajWQ1kHzDwCNGeHz7yin6YgPhndU4QnEokoHKpAoG/25qB/X42J65+XwSujk5ZcJFGExWjEYLRrMNo8mGwWRDkyvZnn8/oVAxJlMK4fCP9a0kSUFRnKiqB11XsVq6MXDgU7hcQzruhAShk2jO+7cIWARBaBPhQg9lr2wEJFyTexAiQNm3O2B/FJvuQNVV3FI5UncLXcYMIGVg+9X1aa6/3nY+wapj364a9guJ00b9BZutBwCRSDVe7xZ8vp1Eo14MBicWa1cSE0Yjy2JwWxBABCwd3R1BEA5RPWGqFuYT2FAzUTgQ9VAhl+LMSyfznDzi0tumuGGshQLVeCoLiYQDRMJ+oqEA0UiASCjAJ/P+CcC0NxcgK6JGkCA0R3Pev0WYLwhCm1GcJpKuGUD5hj18/vILFBTVrOixVcWjfaGhRSNIsozRYkWWFVypXRgy/nx6DxuB3MAKn45itrowWxvORrzy3a/p2j9HBCuC0MZEwCIIQptLGpzN5U/NIej1snvtKqpKipFlBcVoRFNVIqEgWjTK/m1b+O9Tc7G54gG4/sm/YovrvIUCdV0n6PVgdXbePgrCiaJZawjnz59Pbm4ucXFxxMXFMWLECD7++OO61w8cOMDPf/5z0tLSsNvtnHrqqbz33nvHbHPmzJlIklTv0b9/y5JICYLQuVkcDgaMHsuIS69i+MVXcNoFF3P61MsYdcW1nHn1Dfzs0T9w7Zx5KAYj/uoqXr/vLqLhcEd3+6g85WX4qipJ69Wno7siCCe8ZgUsmZmZzJ07l9WrV7Nq1SrOOeccpk6dyqZNmwC47rrr2LZtGwsXLmTDhg1ccsklXHHFFfzwww/HbHfgwIEUFxfXPZYtW9byMxIE4bjWpWdvbn3uFS6d8SgBr4el//gbnXWq3aYvl6AYDGT0G9DRXRGEE16zApYpU6Zw/vnn06dPH/r27cvs2bNxOBysWLECgG+//Za77rqL008/nZ49e/Lggw8SHx/P6tWrj9muwWAgLS2t7pGcnNzyMxIE4YSQPWQo59xwG+sWf8zyd//V0d1p0PYV39B/9NhOfdtKEE4UzUsreRhVVXnrrbfw+XyMGDECgJEjR/Lvf/+biooKNE3jrbfeIhgMMnbs2GO2tWPHDjIyMujZsyfXXHMNBQUFx9w+FArhdrvrPQRBOPHkjpvI6KuuZ/m7b7Lsrdc73UhL0OvBmZTS0d0QhJNCsyfdbtiwgREjRhAMBnE4HCxYsICcnBwA3n77ba688kqSkpIwGAzYbDYWLFhA7969j9re8OHDefXVV+nXrx/FxcU8+uijnHnmmWzcuBGn09ngPnPmzOHRRx9tbtcFQTgODb/ocmRZ5qt/vkJ54V7GXvcLXKlpHd0t1GiUcMCPwShWBwlCe2h2HpZwOExBQQHV1dW8++67/P3vf+fLL78kJyeHu+66i++//54nnniC5ORk3n//fZ566im+/vprBg8e3KT2q6qq6N69O3/+85+5+eabG9wmFArVK1zmdrvJysoSeVgE4QS2/btv+Oyl+fjd1XQfPITccRPpfdoZHbb8+YdFH/LFKy/y8//7CyndsjukD4JwvGvXxHHjxo2jV69e3HffffTu3ZuNGzcycODAeq/37t2b559/vsltDhs2jHHjxjFnzpwmbS8SxwnCySESDLJtxTLWf/YJxdu3kpiRyaUPPEZcctPrAsXKvx+djslq4+L7Hm73YwvCiaI5798tnsNSS9M0QqEQfn9NxVtZrt+koihomtbk9rxeL/n5+aSnp7e2a4IgnGCMFguDxo7j6llPcu2ceURCIZb8/bl274e7rJT9WzfTY8hp7X5sQThZNStgmTFjBl999RV79uxhw4YNzJgxg6VLl3LNNdfQv39/evfuzW233cb3339Pfn4+f/rTn1i8eDEXXXRRXRvnnnsuzz77bN3X9957L19++SV79uzh22+/5eKLL0ZRFK666qqYnaQgCCeeLj17M/ziK9izbg0hv6/djhsOBvj0hb9gc8UzYPRZ7XZcQTjZNWvS7cGDB7nuuusoLi7G5XKRm5vLokWLOO+88wD46KOPmD59OlOmTMHr9dK7d29ee+01zj///Lo28vPzKSsrq/u6sLCQq666ivLyclJSUhg9ejQrVqwgJUXMvBcE4diyBg5G1zQO7NxB99whrWpL13XK9+2lYOM6fNVVZPQdgBaN4quqxFddia+qksri/ZTsykdTo1x038OYbfbYnIggCI0SxQ8FQThu6ZrGc7dcw6Czz+Osa29q1r7RcJiyfXs5uCeffZs2sG/TenxVlSgGA2a7A391FQCyomCLT8DuSsCVkkpqz970HzkGV+rxUbhREDozUfxQEISTgiTLDBw7jrWL/scpEy845uTbSDhE0dYtFGxcS8Gm9ZTs2omuaUiSTGqPXuScdS7dBw0ho/8ADEYT7tKDmKxWLHYHktzq6X6CILSSGGERBOG45ikv4/XpdyNJErnnTiC5WzYmixVZMeCrqqCyeD9F27ewf9sW1EgEmyuerIG5ZOUMIrVHL5KzumM0Wzr6NAThpNSuy5o7AxGwCMLJzVdVyTf/fp1ty5cRDvjrvWZzxZPWuy/dBubRbXAeyVndkSSpg3oqCMLhRMAiCMJJSdd1Qn4fkWAQNRrF7orHaBGjJ4LQWYk5LIIgnJQkScJid2CxOzq6K4IgxJiYSSYIgiAIQqcnAhZBEARBEDo9EbAIgiAIgtDpiYBFEARBEIROTwQsgiAIgiB0eiJgEQRBEASh0xMBiyAIgiAInZ4IWARBEARB6PREwCIIgiAIQqcnAhZBEARBEDo9EbAIgiAIgtDpiYBFEARBEIROTwQsgiAIgiB0eidEtWZd14GaMtWCIAiCIBwfat+3a9/Hj+WECFg8Hg8AWVlZHdwTQRAEQRCay+Px4HK5jrmNpDclrOnkNE2jqKgIp9OJJEm43W6ysrLYt28fcXFxHd09oQHiGnV+4hp1fuIadW7i+jRO13U8Hg8ZGRnI8rFnqZwQIyyyLJOZmXnE83FxceKHpJMT16jzE9eo8xPXqHMT1+fYGhtZqSUm3QqCIAiC0OmJgEUQBEEQhE7vhAxYzGYzjzzyCGazuaO7IhyFuEadn7hGnZ+4Rp2buD6xdUJMuhUEQRAE4cR2Qo6wCIIgCIJwYhEBiyAIgiAInZ4IWARBEARB6PREwCIIgiAIQqd3wgUs27dvZ+rUqSQnJxMXF8fo0aP54osv6m0jSdIRj7feequDenzyaco1qlVeXk5mZiaSJFFVVdW+HT2JNXaNysvLmThxIhkZGZjNZrKysrjzzjtFPa920tj1WbduHVdddRVZWVlYrVYGDBjA008/3YE9Pvk05e/cr3/9a4YOHYrZbGbIkCEd09HjyAkXsFxwwQVEo1E+//xzVq9eTV5eHhdccAEHDhyot90rr7xCcXFx3eOiiy7qmA6fhJp6jQBuvvlmcnNzO6CXJ7fGrpEsy0ydOpWFCxeyfft2Xn31VZYsWcIvf/nLDu75yaGx67N69WpSU1N544032LRpEw888AAzZszg2Wef7eCenzya+nfupptu4sorr+ygXh5n9BNIaWmpDuhfffVV3XNut1sH9MWLF9c9B+gLFizogB4KTb1Guq7rzz33nH7WWWfpn332mQ7olZWV7dzbk1NzrtHhnn76aT0zM7M9unhSa+n1uf322/Wzzz67Pbp40mvuNXrkkUf0vLy8duzh8emEGmFJSkqiX79+/OMf/8Dn8xGNRnnhhRdITU1l6NCh9ba94447SE5O5vTTT+fll19uUmlrofWaeo02b97MY489xj/+8Y9GC2IJsdWc36NaRUVF/Oc//+Gss85q596efFpyfQCqq6tJTExsx56evFp6jYRGdHTEFGv79u3Thw4dqkuSpCuKoqenp+tr1qypt81jjz2mL1u2TF+zZo0+d+5c3Ww2608//XQH9fjk09g1CgaDem5urv7666/ruq7rX3zxhRhhaWdN+T3SdV3/2c9+plutVh3Qp0yZogcCgQ7o7cmnqden1jfffKMbDAZ90aJF7djLk1tzrpEYYWma4+Kj6/Tp0xucKHv4Y+vWrei6zh133EFqaipff/0133//PRdddBFTpkyhuLi4rr2HHnqIUaNGccopp3D//fdz33338cc//rEDz/D4F8trNGPGDAYMGMC1117bwWd1Yon17xHAU089xZo1a/jggw/Iz8/nnnvu6aCzO/61xfUB2LhxI1OnTuWRRx5h/PjxHXBmJ462ukZC0xwXqflLS0spLy8/5jY9e/bk66+/Zvz48VRWVtYr5d2nTx9uvvlmpk+f3uC+//vf/7jgggsIBoOi5kMLxfIaDRkyhA0bNiBJEgC6rqNpGoqi8MADD/Doo4+26bmcqNr692jZsmWceeaZFBUVkZ6eHtO+nwza4vps3ryZs88+m1/84hfMnj27zfp+smir36GZM2fy/vvvs3bt2rbo9gnD0NEdaIqUlBRSUlIa3c7v9wMcMedBlmU0TTvqfmvXriUhIUEEK60Qy2v03nvvEQgE6l5buXIlN910E19//TW9evWKYa9PLm39e1T7WigUakUvT16xvj6bNm3inHPO4frrrxfBSoy09e+QcGzHRcDSVCNGjCAhIYHrr7+ehx9+GKvVyt/+9jd2797N5MmTAfjvf/9LSUkJZ5xxBhaLhcWLF/PEE09w7733dnDvTw5NuUY/DUrKysoAGDBgAPHx8e3d5ZNOU67RRx99RElJCcOGDcPhcLBp0yZ+97vfMWrUKLKzszv2BE5wTbk+Gzdu5JxzzmHChAncc889dUtpFUVp0huu0DpNuUYAO3fuxOv1cuDAAQKBQN0IS05ODiaTqYN634l13PSZtrFy5Up9/PjxemJiou50OvUzzjhD/+ijj+pe//jjj/UhQ4boDodDt9vtel5env7888/rqqp2YK9PLo1do58Sk27bX2PX6PPPP9dHjBihu1wu3WKx6H369NHvv/9+cY3aSWPX55FHHtGBIx7du3fvuE6fZJryd+6ss85q8Drt3r27YzrdyR0Xc1gEQRAEQTi5HRerhARBEARBOLmJgEUQBEEQhE5PBCyCIAiCIHR6ImARBEEQBKHTEwGLIAiCIAidnghYBEEQBEHo9ETAIgiCIAhCpycCFkEQBEEQOj0RsAiCIAiC0OmJgEUQBEEQhE5PBCyCIAiCIHR6ImARBEEQBKHT+38oM3RSE3/2pwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We appear to have some populated islands.  Separate out the main state geom in next block.\n",
      "we will scale longitudinal distance by 0.76347\n"
     ]
    }
   ],
   "source": [
    "print(\"I will now preserve the original county unit lists and geoms, then rebuild as needed\")\n",
    "trueCountyTractList = [list() for c in range(nCounties)]\n",
    "trueCountyGeom = [countyGeom[c] for c in range(nCounties)]\n",
    "for c in range(nCounties):\n",
    "    trueCountyTractList[c] = countyTractList[c].copy()\n",
    "    if isAlteredCounty[c]:\n",
    "        print(\"removing coastal units from countyNo\",c)\n",
    "        countyTractList[c] = list()\n",
    "        countyGeom[c] = dummyPoly\n",
    "        for t in trueCountyTractList[c]:\n",
    "            if t not in skipList:\n",
    "                countyTractList[c].append(t)\n",
    "                if countyGeom[c] == dummyPoly:\n",
    "                    countyGeom[c] = tractGeom[t]\n",
    "                else:\n",
    "                    countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "        if countyGeom[c] == dummyPoly:\n",
    "            print(\"Uh oh! county\",c,\"didn't have any usable tracts\")\n",
    "MAP = countyGeom[0]\n",
    "for c in range(nCounties):\n",
    "    plotPoly(countyGeom[c])\n",
    "    plotCenter(c,countyGeom[c])\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "origPopMAP = MAP   #origPopMAP is the map after eliminating coastal unpopulated tracts, with original islands\n",
    "print(\"Here is the revised state county map after eliminating coastal tracts\")\n",
    "plt.show()\n",
    "if MAP.geom_type == dummyPoly.geom_type:\n",
    "    print(\"Excellent!  We have no populated islands.  SKIP the below code block.\")\n",
    "else:\n",
    "    print(\"We appear to have some populated islands.  Separate out the main state geom in next block.\")\n",
    "LAT = MAP.centroid.y\n",
    "xScale = (1. - 1.089* abs(LAT/90)**1.9)\n",
    "print(\"we will scale longitudinal distance by\",r5(xScale))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8a562a21-4107-4a3c-a320-90442a473387",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets first identify which county each island belongs to.  Then we'll move the island to the closest county mainland\n",
      "unit 3739 is a true island.  We will move it to adjoin the mainland in same county.\n",
      "unit 3759 has island pieces.  We will reduce the tract to its main state component\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unit 3068 has island pieces.  We will reduce the tract to its main state component\n",
      "unit 3097 has island pieces.  We will reduce the tract to its main state component\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unit 1006 is a true island.  We will move it to adjoin the mainland in same county.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#RUN THIS ONLY IF WE FOUND POPULATED ISLANDS\n",
    "nSubGeoms = len(MAP.geoms)\n",
    "subGeoms = [MAP.geoms[n] for n in range(nSubGeoms)]\n",
    "subAreas = [subGeoms[n].area for n in range(nSubGeoms)]\n",
    "mainSubGeomNo = subAreas.index(np.max(subAreas))\n",
    "mainGeom = subGeoms[mainSubGeomNo]\n",
    "nonMainGeom = dummyPoly\n",
    "for geo in subGeoms:  #the \"nonMainGeom is all pieces of the state not in the biggest piece\n",
    "    if geo != mainGeom:\n",
    "        if nonMainGeom == dummyPoly:\n",
    "            nonMainGeom = geo\n",
    "        else:\n",
    "            nonMainGeom = nonMainGeom.union(geo)\n",
    "        \n",
    "print(\"Lets first identify which county each island belongs to.  Then we'll move the island to the closest county mainland\")\n",
    "hasIsland, isIsland = [False for c in range(nCounties)], [False for c in range(nCounties)]\n",
    "isIsland =  [False for t in range(nTracts)]\n",
    "islandXshift, islandYshift = [0. for t in range(nTracts)], [0. for t in range(nTracts)]\n",
    "islandList = list()\n",
    "for c in range(nCounties):\n",
    "    if countyGeom[c].intersects(nonMainGeom):  #this county contains an island.  Find all its island tracts\n",
    "        hasIsland[c] = True\n",
    "        if countyGeom[c].disjoint(mainGeom):  #need to connect the whole county\n",
    "            print(\"county\",c,\"is completely disconnected from mainland.  Move it to adjoin mainland\")\n",
    "            isIsland[c] = True\n",
    "            countyDist = [999999. for cc in range(nCounties)]  #default, to avoid picking island counties as closest to this one\n",
    "            for cc in range(nCounties):\n",
    "                if countyGeom[cc].intersects(mainGeom):\n",
    "                    countyDist[cc] = countyGeom[c].distance(countyGeom[cc].intersection(mainGeom) )\n",
    "            closestCounty = countyDist.index(np.min(countyDist))\n",
    "            p1, p2 = nearest_points(countyGeom[closestCounty],countyGeom[c])\n",
    "            for t in countyTractList[c]:\n",
    "                islandXshift[t], islandYshift[t]  = p1.x - p2.x , p1.y - p2.y\n",
    "            for t in countyTractList[c]:\n",
    "                plotPoly(tractGeom[t])\n",
    "                plotCenter(t,tractGeom[t])\n",
    "                plt.arrow(tractCP[t].x, tractCP[t].y,islandXshift[t], islandYshift[t])\n",
    "                tractGeom[t] = translate(tractGeom[t], xoff=islandXshift[t], yoff=islandYshift[t])                   \n",
    "                tractCP[t] = tractGeom[t].centroid\n",
    "                tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                plotPoly(tractGeom[t],0.2)\n",
    "        else: #move only the county's island tracts to connect with main geom\n",
    "            mainCountyGeom = countyGeom[c].intersection(mainGeom)\n",
    "            plotPoly(mainCountyGeom)\n",
    "            plotCenter(c,mainCountyGeom)\n",
    "            for t in countyTractList[c]:\n",
    "                if tractGeom[t].intersects(nonMainGeom) and t not in skipList:\n",
    "                    if tractGeom[t].intersects(mainCountyGeom):\n",
    "                        print(\"unit\",t,\"has island pieces.  We will reduce the tract to its main state component\")\n",
    "                        plotPoly(tractGeom[t],0.2)\n",
    "                        tractGeom[t] = tractGeom[t].intersection(mainCountyGeom)\n",
    "                        tractCP[t] = tractGeom[t].centroid\n",
    "                        tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                        plotPoly(tractGeom[t])\n",
    "                        plotCenter(t,tractGeom[t])\n",
    "                    else:    \n",
    "                        isIsland[t] = True\n",
    "                        print(\"unit\",t,\"is a true island.  We will move it to adjoin the mainland in same county.\")\n",
    "                        islandList.append(t)\n",
    "                        if tractGeom[t].geom_type != dummyPoly.geom_type :  #island tract is multiple geoms.  collapse to its largest isle\n",
    "                            isleGeos = [geo for geo in tractGeom[t].geoms]\n",
    "                            isleAreas = [geo.area for geo in isleGeos]\n",
    "                            biggestIsleNo = isleAreas.index(np.max(isleAreas))\n",
    "                            tractGeom[t] = isleGeos[biggestIsleNo]\n",
    "                            tractCP[t] = tractGeom[t].centroid\n",
    "                        p1, p2 = nearest_points(mainCountyGeom, tractGeom[t])\n",
    "                        islandXshift[t], islandYshift[t]  = p1.x - p2.x , p1.y - p2.y\n",
    "                        plotPoly(tractGeom[t])\n",
    "                        plotCenter(t,tractGeom[t])\n",
    "                        plt.arrow(tractCP[t].x, tractCP[t].y,islandXshift[t], islandYshift[t])\n",
    "                        tractGeom[t] = translate(tractGeom[t], xoff=islandXshift[t], yoff=islandYshift[t])                   \n",
    "                        tractCP[t] = tractGeom[t].centroid\n",
    "                        tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                        plotPoly(tractGeom[t],0.2)\n",
    "        plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9a94118d-5863-4458-b77a-67d18cf01c2c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "If you like my proposed translations, let's rebuild the MAP with the adjusted county geoms\n",
      "This would need adjustment for multi-county islands like Michigan UP\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing with island triage - RUN ONLY WITH ISLANDS\n",
    "print(\"If you like my proposed translations, let's rebuild the MAP with the adjusted county geoms\")\n",
    "print(\"This would need adjustment for multi-county islands like Michigan UP\")\n",
    "for c in range(nCounties):\n",
    "    if hasIsland[c] :  #rebuild the county geom with the translated islands\n",
    "        countyGeom[c] = dummyPoly\n",
    "        for t in countyTractList[c]:\n",
    "            if t not in skipList:\n",
    "                if countyGeom[c] == dummyPoly:\n",
    "                    countyGeom[c] = tractGeom[t]\n",
    "                else:\n",
    "                    countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "MAP = countyGeom[0]\n",
    "plotPoly(countyGeom[0])\n",
    "for c in range(1,nCounties):\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "    plotPoly(countyGeom[c])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4aebe4ee-ee7b-4bf3-8413-f315556d453e",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "computing all county centerpoints, then plot them\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"computing all county centerpoints, then plot them\")\n",
    "countyCP  = list()\n",
    "cutCountyList = list()\n",
    "for c in range(nCounties):\n",
    "    cTL = countyTractList[c]\n",
    "    countyCP.append(getHDcp( [tractCP[v] for v in cTL], [tractPop[v] for v in cTL], [i for i in range(len(cTL) ) ] ) )\n",
    "    if countyCP[c].disjoint(countyGeom[c]):  #possible with weird-shaped county\n",
    "        countyCP[c] = nearest_points(countyGeom[c],countyCP[c])[0]\n",
    "    plotPoly(countyCP[c].buffer(0.03))\n",
    "    plotPoly(countyGeom[c],0.5)\n",
    "plotPoly(MAP)\n",
    "plt.show()   \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "207f3a55-e361-4777-ae46-41fe3d54a4b8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This code block reads in a csv with whole districts to be cut out of the map\n",
      "For OH my input file says to cut out 0 districts out of 15\n",
      "There were no cut districts in OH\n"
     ]
    }
   ],
   "source": [
    "print(\"This code block reads in a csv with whole districts to be cut out of the map\")\n",
    "unclippedMAP = MAP\n",
    "trimDF = pd.read_csv(\"state_map_files/cutNclipPolyLists.csv\")\n",
    "stateRows = trimDF[\"state\"].to_list()\n",
    "DFrow = stateRows.index(STATE)\n",
    "nClips = trimDF[\"nClipPoly\"][DFrow]\n",
    "nCuts  = trimDF[\"nCutPoly\"][DFrow]\n",
    "nCutDistricts = nCuts\n",
    "nStops = trimDF[\"nStopLines\"][DFrow]\n",
    "nDistricts = trimDF[\"nDistricts\"][DFrow]\n",
    "stopLines = list()  #the 'stoplines' stop wedge growth that hops across concave map areas (not currently used)\n",
    "cutCountyList = list()\n",
    "allCutLists, allCutPops = list(), list()\n",
    "print(\"For\",STATE,\"my input file says to cut out\",nCuts,\"districts out of\",nDistricts)\n",
    "if nCuts > 0:\n",
    "    cutList = list()\n",
    "    cutXs = ast.literal_eval(trimDF[\"cutXs\"][DFrow])\n",
    "    cutYs = ast.literal_eval(trimDF[\"cutYs\"][DFrow])\n",
    "    cutPoints = [Point(cutXs[i],cutYs[i]) for i in range(len(cutXs)) ]\n",
    "    for cutNo in range(nCuts):\n",
    "        print(\"performing cut no\",cutNo,\"for state\",STATE)  #first two cutPoints must form the cutLine\n",
    "        cutNotDone = True\n",
    "        thisCutPoints = [ cutPoints[int(4*cutNo)],cutPoints[int(4*cutNo+1)],cutPoints[int(4*cutNo+2)],cutPoints[int(4*cutNo+3)]  ]\n",
    "        while cutNotDone:\n",
    "            cutPoly = Polygon([thisCutPoints[0],thisCutPoints[1],thisCutPoints[2],thisCutPoints[3] ])\n",
    "            cutLine = LineString([thisCutPoints[0], thisCutPoints[1] ] )\n",
    "            cutList = list()\n",
    "            cutPop = 0.\n",
    "            for c in range(nCounties):\n",
    "                if cutPoly.intersects(countyGeom[c]):\n",
    "                    if cutPoly.contains(countyGeom[c]):\n",
    "                        cutList = cutList + countyTractList[c]\n",
    "                        cutPop += countyPop[c]\n",
    "                    else:\n",
    "                        for t in countyTractList[c]:\n",
    "                            if cutPoly.contains(tractCP[t]):\n",
    "                                cutList.append(t)\n",
    "                                cutPop += tractPop[t]\n",
    "                            if STATE == \"NC\":\n",
    "                                if t == 1828:\n",
    "                                    print(\"special for NC - include vtd 1828 from county 55 in the cut list for contiguity\")\n",
    "                                    cutList.append(t)\n",
    "                                    cutPop += tractPop[t]\n",
    "            print(\"the total proposed cutPop is\",cutPop,\". Compare to\",int(statePop/nDistricts) )\n",
    "\n",
    "            doIcut = input(\"enter 1 to apply the cut\")\n",
    "            if str(doIcut) == str(1):\n",
    "                cutNotDone = False\n",
    "                allCutLists.append(cutList)\n",
    "                allCutPops.append(cutPop)\n",
    "            else:\n",
    "                print(\"Here is the state and the last proposed cutPoly.\")\n",
    "                plotPoly(cutPoly)\n",
    "                plotPoly(MAP)\n",
    "                plt.show()\n",
    "                print(cutPoly)\n",
    "                oldPts = list(cutPoly.exterior.coords)\n",
    "                newPtXs = ast.literal_eval(input(\"enter alternate [ x0, x1 ] for the first two points\") )\n",
    "                newPtYs = ast.literal_eval(input(\"enter alternate [ y0, y1 ] for the first two points\") )\n",
    "                thisCutPoints = [Point(newPtXs[0],newPtYs[0]), Point(newPtXs[1],newPtYs[1]),oldPts[2], oldPts[3] ]\n",
    "allCutVTDs = list()\n",
    "for L in allCutLists:\n",
    "    for v in L:\n",
    "        allCutVTDs.append(v)\n",
    "if nCutDistricts == 0:\n",
    "    print(\"There were no cut districts in\",STATE)\n",
    "else:\n",
    "    print(\"here are your cut districts\")\n",
    "    plotPoly(MAP)\n",
    "    for i,L in enumerate(allCutLists):\n",
    "        cutGeo = tractGeom[L[0]]\n",
    "        for v in L:\n",
    "            cutGeo=cutGeo.union(tractGeom[v])\n",
    "        plotPoly(cutGeo,2)\n",
    "        plotCenter(i,cutGeo)\n",
    "        plotCenter(allCutPops[i],Point(cutGeo.centroid.x,cutGeo.centroid.y-0.5) )\n",
    "    plt.show()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "4c915415-6c44-4c43-9826-b565cebed95a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Write the vtd cutlists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Write the vtd cutlists to a file\")\n",
    "cutDistrictNo = list()\n",
    "for v in allCutVTDs:\n",
    "    for i,L in enumerate(allCutLists):\n",
    "        if v in L:\n",
    "            cutDistrictNo.append(i)\n",
    "            break\n",
    "nbrDF = pd.DataFrame( {\"vtdNo\":allCutVTDs,\"cutDistrictNo\":cutDistrictNo} )\n",
    "outname = STATE+\"wholeDistrictCuts.csv\" \n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "nbrDF.to_csv(outpath)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "17721728-e5c0-4787-b430-9d7d94970667",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "15 districts\n"
     ]
    }
   ],
   "source": [
    "countyPop = [0. for c in range(nCounties)]\n",
    "for t in range(nTracts):\n",
    "    countyPop[countyNo[t]] += tractPop[t]\n",
    "print(nDistricts,\"districts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f3073320-8d92-45ba-beb2-fb8c08d7170d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Removed all whole districts.  Finalize stats before squishing in outcroppings.\n",
      "Of the total statePop 11799448.0 we ignore 0.0 as it is cut out of the map\n",
      "This excluded pop comes from a total of 7 tracts\n",
      "Our final adjusted number of state districts, excluded fixed cut-out is 15 rather than original 15\n",
      "Each district will be drawn to house 786629.867 = 1/ 15 of non-cutout state pop 11799448.0 vs original= 11799448.0\n",
      "Here is a county-level modified map with each county's fraction of a district pop\n",
      "working on county 0\n",
      "working on county 20\n",
      "working on county 40\n",
      "working on county 60\n",
      "working on county 80\n",
      "here is the OH map excluding cut and unpop coastal tracts\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Removed all whole districts.  Finalize stats before squishing in outcroppings.\")\n",
    "trueCountyPop = [countyPop[c] for c in range(nCounties)]\n",
    "trueCountyGeom = countyGeom.copy()\n",
    "countyPop = [0. for c in range(nCounties)]\n",
    "trueStatePop, true_nDistricts = np.sum(trueCountyPop), nDistricts\n",
    "trueCountyTractList = [list() for c in range(nCounties)]\n",
    "# minTractPop = 4.5  #already defined above\n",
    "populatedTractList = list()\n",
    "countyTractList = [list() for c in range(nCounties)]\n",
    "statePop, excludedPop = 0., 0.\n",
    "\n",
    "for t in range(nTracts):\n",
    "    trueCountyTractList[countyNo[t]].append(t)\n",
    "    if t in allCutVTDs or t in skipList:  #  or vtdPop[t] < minTractPop:  #need to keep low-pop vtds as VEST may have assigned votes to them\n",
    "        excludedPop += tractPop[t]\n",
    "    else:\n",
    "        populatedTractList.append(t)\n",
    "        countyTractList[countyNo[t]].append(t)\n",
    "        countyPop[countyNo[t]] += tractPop[t]\n",
    "        statePop += tractPop[t]\n",
    "        #tractPop[t] = max(tractPop[t],0.000001)  #avoid possible later div/zero errors for nil-vote vtds\n",
    "print(\"Of the total statePop\",statePop+excludedPop,\"we ignore\",excludedPop,\"as it is cut out of the map\") #,\n",
    "#\"or in sparsely populated areas (<\",minTractPop,\") per geom\")\n",
    "print(\"This excluded pop comes from a total of\",nTracts -len(populatedTractList),\"tracts\")\n",
    "true_nDistricts = nDistricts\n",
    "nDistricts -= nCutDistricts\n",
    "print(\"Our final adjusted number of state districts, excluded fixed cut-out is\",nDistricts,\"rather than original\",true_nDistricts)\n",
    "aDP = statePop/float(nDistricts)\n",
    "print(\"Each district will be drawn to house\",r3(aDP),\"= 1/\",nDistricts,\"of non-cutout state pop\",statePop,\"vs original=\",trueStatePop)\n",
    "print(\"Here is a county-level modified map with each county's fraction of a district pop\")\n",
    "\n",
    "vtdGeom = tractGeom.copy()\n",
    "nVTDs = len(vtdGeom)\n",
    "\n",
    "cutCountyList, uncutCountyList = list(), list()\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"working on county\",c)\n",
    "    if len(countyTractList[c]) == 0:  #no vtds added to county b/c all were in cut lists:\n",
    "        cutCountyList.append(c)\n",
    "    else:\n",
    "        uncutCountyList.append(c)\n",
    "        countyGeom[c] = tractGeom[countyTractList[c][0]]\n",
    "        for t in countyTractList[c]:\n",
    "            countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "uncutMAP = MAP\n",
    "MAP = countyGeom[uncutCountyList[0]]\n",
    "for c in uncutCountyList:\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "print(\"here is the\",STATE,\"map excluding cut and unpop coastal tracts\")\n",
    "\n",
    "for c in uncutCountyList:\n",
    "    plotPoly(countyGeom[c])\n",
    "    FONTSIZE = 11\n",
    "    if countyPop[c] / statePop < 0.02:\n",
    "        FONTSIZE = 7\n",
    "        plotCenter(r3(countyPop[c]/aDP),countyGeom[c], FONTSIZE)\n",
    "    else:\n",
    "        plotCenter(round(countyPop[c]/aDP,2),countyGeom[c], FONTSIZE)\n",
    "plotPoly(trueMAP,0.1)\n",
    "for c in cutCountyList:\n",
    "    plotPoly(countyGeom[c],0.2)\n",
    "    plotCenter(\"cut\",countyGeom[c],6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "0062ac21-3328-4616-99ed-70c53e62b308",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now finalize the map topology before any squish operations.  Plot countyPop/aDP\n",
      "Working on county  0 distances\n",
      "Working on county  20 distances\n",
      "Working on county  40 distances\n",
      "Working on county  60 distances\n",
      "Working on county  80 distances\n",
      "the max LAT-scaled distance between counties is 3.86947\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter user-picked max district diameter, or 0 to accept 3.86947  2.5\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Working on county  0 neighbors\n",
      "Working on county  20 neighbors\n",
      "Working on county  40 neighbors\n",
      "Working on county  60 neighbors\n",
      "Working on county  80 neighbors\n",
      "I have also identified each county's neighbors.  Let's visualize the counties with two or fewer neighbors\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#For corners and outcroppings, we fuse county clusters\n",
    "print(\"Now finalize the map topology before any squish operations.  Plot countyPop/aDP\")\n",
    "preSquishCountyGeom = [countyGeom[c] for c in range(nCounties)]\n",
    "maxD = 0.\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"Working on county \",c,\"distances\")\n",
    "    if c not in cutCountyList:\n",
    "        plotPoly(countyGeom[c],0.2)\n",
    "        plotCenter(r3(countyPop[c]/aDP), countyGeom[c], 7 )\n",
    "        for cc in range(c+1, nCounties):\n",
    "            dist = getLongDist(countyCP[c],countyCP[cc],xScale)\n",
    "            if dist > maxD and cc not in cutCountyList:\n",
    "                maxD = dist\n",
    "                #print(c,cc,maxD)\n",
    "print(\"the max LAT-scaled distance between counties is\",r5(maxD))\n",
    "plotPoly(MAP)\n",
    "plotPoly(MAP.centroid.buffer(0.5*maxD))\n",
    "plt.show()\n",
    "inputD = float( input(\"enter user-picked max district diameter, or 0 to accept \"+str(r5(maxD))+\" \") )\n",
    "if inputD > 0:\n",
    "    maxD = inputD\n",
    "neighborCountyList = [list() for c in range(nCounties)]\n",
    "for c in uncutCountyList:\n",
    "    if c%20 == 0:\n",
    "        print(\"Working on county \",c,\"neighbors\")\n",
    "    for cc in uncutCountyList:\n",
    "        if cc > c and cc not in cutCountyList:  \n",
    "            if countyGeom[c].intersects(countyGeom[cc]) :\n",
    "                neighborCountyList[c].append(cc)\n",
    "                neighborCountyList[cc].append(c)\n",
    "print(\"I have also identified each county's neighbors.  Let's visualize the counties with two or fewer neighbors\")\n",
    "hasFewNeighborCs, has1neighborCs = list(), list()\n",
    "plotPoly(MAP,0.15)\n",
    "for c in uncutCountyList:\n",
    "    if len(neighborCountyList[c]) == 2:\n",
    "        hasFewNeighborCs.append(c)\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c+0.2,countyGeom[c])\n",
    "        for cc in neighborCountyList[c] :\n",
    "            plotPoly(countyGeom[c],0.5)\n",
    "    if len(neighborCountyList[c]) < 2:\n",
    "        has1neighborCs.append(c)\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c+0.1,countyGeom[c])\n",
    "        for cc in neighborCountyList[c] :\n",
    "            plotPoly(countyGeom[c],0.2)\n",
    "plt.show()   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "f9b3df93-d821-44ca-b4f4-b65d13baaffb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "continuing from above, develop corner county blocks from each low-pop corner county until it hits 0.25 of 786629\n"
     ]
    },
    {
     "data": {
      "image/png": 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UJXR5AxCl3iA5Z2xWaN9oc3n82H+6HQadCrfEaP4eov5EHFg2bdqEgwcPorq6OmpFzJs3D2+++SbKysrQ3NyMtWvXYuHChThy5Aj0+ss7/q1btw5r166N2vsTUWRUSsWoTPrV2uXFvtNtmDSCDsCJxh8UceSCE44ef2jb2Jz0Aaetv9g5WpIkCIKAbl8A1Q0dCIhiqAOzWiGgODsdhaa0UEuVNxBEY3s3Ljg8ECUJg8VOtVIBX1AEAGhVClSV58UsqBINJKLA0tjYiIceegjbtm2DThe9VWFvvvnm0L8rKiowb948jB07Fn/+859x3333Xbb/mjVrsHr16tDXLpcLxcXshU6UbJodHkw0Z4b6tiQjX0BE7QUnXJ7egKL6YkmFKzIiC4QXw0m6RoUFk3Ive4/Gjm58XN+KoCgBADRKBYqz07GgNHfI222+gAi1UuAIrhQWD+c+osBSU1MDu92O2bNnh7YFg0F8+OGHeOWVV+D1eqFUjrwZ0mQyYfLkyTh16lS/z2u1Wmi1HM9PlOxmFBlx8FwHjlxwJsXCeL6AiCffqcXYnHRM++LzqBQCKsaYYjqpnkalCHWkHu7rKbVJkiR3CZEFlqqqKtTW1vbZdu+996K8vByPP/54VMIK0Nupt76+Ht/+9rejcjwiSlyzS7JwtMmJ/afbMG9CjtzlDFtjezf2nm7DP8wtxpQCPfQ6zvpLFImIAoter8f06dP7bMvIyEBOTk5ou9VqhdVqDbWO1NbWQq/Xo6SkBNnZvZ3oqqqqsGLFCjzwwAMAgEcffRTLly/H2LFj0dTUhGeeeQZKpRJ33XXXiD8gESW+aYVGnO/oxru1zaiakhezDqWx8HmzC43t3RiTlcYJ1IhGIOqTnWzYsKFPh9hrr70WAPDGG2/gO9/5DgCgvr4era2toX3Onz+Pu+66C21tbTCbzViwYAH27dsHs9kMIiKgd4XpfIMOO47bMTYnHeWW/udyiQeSJOHgOQfaurwos+ixeBqnbCAaKUGKhxtTI+RyuWA0GuF0OmEwxOaX2O4TLX2GdRKRfE7ZO1Fn7cLiaflQR2Hel6FcHIHT7OxBW5cPAVGCRqmARqWARqmAQgFYnR64fUGIooSWLi+qyvOQw7VzKEnE6hoYyfWb08kSUcIpzdOjJDsDu+paIAC4MUbDbBta3Tjd0oUubwDGNDXyDTrkG3RQKwX4giK8fhEBUYLPL6K8wIBMLX+lUnKKh7YN/nQRUULSqBS4aWo+Oj1+7KyzAwAKTWkot+hHNASzxxfE/oY2BIISxpszUDWF080TxQMGFiJKaHqdOhQqLjh68P4xGzK1Kkw0Z8JiDH++qHNt3aizdSJNrcTVE3M5lJcozjCwEFHSGGNKwxhTGjz+IE7Zu3D4vAMGnRqzx5ouG1kkihKOWzthdfUA6O3Ue9NUtqYQxSsGFiJKOjq1EtPHGDF9jBFd3gA+OdMBX1CEgN4ZOy9ORV9m0WNqYfyONiKKFwk30y0RUaLJ1KpwTWnu0DsS0YDiodMtb9ISERFR3GNgISIiorjHwEJERESDioc+LAwsREREFPcYWIiIiGhQ7HRLREREFAYGFiIiIop7DCxEREQ0KHa6JSIiIgoDAwsRERENip1uiYiIiMLAwEJERERxj4GFiIiIBsVOt0RERERhYGAhIiKiQbHTLREREVEYGFiIiIgo7jGwEBER0aDY6ZaIiIgoDAwsRERENCh2uiUiIiIKAwMLERERDYp9WIiIiIjCwMBCREREg2IfFiIiIqIwMLAQERFR3GNgISIiokGx0y0RERFRGBhYiIiIaFDsdEtEREQUhhEFlvXr10MQBDz88MOhbb/+9a9x/fXXw2AwQBAEOByOsI71q1/9CuPGjYNOp8O8efNw4MCBkZRGRERESWTYgaW6uhobN25ERUVFn+3d3d1YunQpfvSjH4V9rD/96U9YvXo1nnnmGRw8eBAzZ87EkiVLYLfbh1seERERRUnCdrrt6urCypUr8frrryMrK6vPcw8//DCeeOIJzJ8/P+zjPf/88/inf/on3HvvvZg6dSo2bNiA9PR0/Pa3vx1OeURERJRkhhVYVq1ahWXLlmHRokUjLsDn86GmpqbPsRQKBRYtWoS9e/f2+xqv1wuXy9XnQURERLGRkJ1uN23ahIMHD2LdunVRKaC1tRXBYBD5+fl9tufn58Nqtfb7mnXr1sFoNIYexcXFUamFiIiI4lNEgaWxsREPPfQQ/vCHP0Cn08WqpiGtWbMGTqcz9GhsbJStFiIiIoo9VSQ719TUwG63Y/bs2aFtwWAQH374IV555RV4vV4olcqICsjNzYVSqYTNZuuz3WazwWKx9PsarVYLrVYb0fsQERHR8CRcp9uqqirU1tbi0KFDocfcuXOxcuVKHDp0KOKwAgAajQZz5szB9u3bQ9tEUcT27dtRWVkZ8fGIiIgo+UTUwqLX6zF9+vQ+2zIyMpCTkxPabrVaYbVacerUKQBAbW0t9Ho9SkpKkJ2dDaA3+KxYsQIPPPAAAGD16tW45557MHfuXFx11VV48cUX4Xa7ce+99474AxIREdHIxEOn24gCSzg2bNiAtWvXhr6+9tprAQBvvPEGvvOd7wAA6uvr0draGtrnG9/4BlpaWvD000/DarVi1qxZ2LJly2UdceUmSVJcNIsRERGlGkGKh9g0Qi6XC0ajEU6nEwaDISbv8eGJFiyclMvAQkREKWf3iRZcN9kc9eNGcv3mWkIRSPxoR0RElJgYWMIkCADzChERkTwYWMIkQIiLTkdERESjLR6ufwwsYWILCxERkXwYWMIkgH1YiIgoNcXDgBMGlnAJgMQ2FiIiIlkwsISptw+L3FUQERGlJgaWMMVBaxgREZEs2OmWiIiIKAwMLERERDQodrolIiIiCgMDCxEREcU9BpYwxUF/IyIiIlmw022CiYNbeERERCmJgYWIiIgGxU63RERERGFgYCEiIqK4x8ASJq4jREREJB8GlggIkP8eHhERUSpiYCEiIqK4x8BCREREcY+BJVzswkJERCQbBpYIxMEwdCIiopTEwEJERERxj4GFiIiI4h4DCxEREcU9BpYwsc8tERGRfFRyF5BI2OeWiIhSySl7Fxrbu9HjD8pdCgMLERFRKgqKEk7aO2F1ehAISpgzNgtZGRpIkoSP69vgDQRRlJWOG8rz5C4VAAMLERFRyvn7qVZ4A0FMKTCg3GKAJEnYd7odHn8QvqCI+eNzYExXy11mHwwsREREKUKSJLx/zIYrSkzI0+tC2wVBQOXEHBkrGxoDS5gk9rolIqIE1tblxcf1bVg4KRemdI3c5USMgSUCAqe6JSKiBLXvdDturShI2GsZhzUTERGlgLPtbngDotxlDBsDCxERUQr43sIJ2HOyFadbuuQuZVgYWMIkceo4IiJKYCqlAoum5uOCowdWp0fuciI2osCyfv16CIKAhx9+OLTN4/Fg1apVyMnJQWZmJu644w7YbLZBj/Od73wHgiD0eSxdunQkpUWdJAGKxLztR0REFLJwkhmfN7twwtYpdykRGXZgqa6uxsaNG1FRUdFn+yOPPILNmzfj7bffxu7du9HU1ISvf/3rQx5v6dKlaG5uDj3+67/+a7ilxYQEdrolIqLkcEN5Hhpa3RDFxLl7MKzA0tXVhZUrV+L1119HVlZWaLvT6cRvfvMbPP/887jxxhsxZ84cvPHGG/j444+xb9++QY+p1WphsVhCj0uPS0RERNE1d2wWPrvglLuMsA0rsKxatQrLli3DokWL+myvqamB3+/vs728vBwlJSXYu3fvoMfctWsX8vLyUFZWhh/84Adoa2sbcF+v1wuXy9XnQUREROHLydSircsrdxlhi3gelk2bNuHgwYOorq6+7Dmr1QqNRgOTydRne35+PqxW64DHXLp0Kb7+9a9j/PjxqK+vx49+9CPcfPPN2Lt3L5RK5WX7r1u3DmvXro20dCIiIrqEzeWFzeVBvkE39M4yiyiwNDY24qGHHsK2bdug00Xvw33zm98M/XvGjBmoqKjAxIkTsWvXLlRVVV22/5o1a7B69erQ1y6XC8XFxVGrh4iIKBXcdVUxth2zYdoYI8aY0uQuZ1AR3RKqqamB3W7H7NmzoVKpoFKpsHv3brz88stQqVTIz8+Hz+eDw+Ho8zqbzQaLxRL2+0yYMAG5ubk4depUv89rtVoYDIY+DyIiIoqMIAhYPM2Cw40OBILxPalcRC0sVVVVqK2t7bPt3nvvRXl5OR5//HEUFxdDrVZj+/btuOOOOwAAdXV1OHfuHCorK8N+n/Pnz6OtrQ0FBQWRlEdERETDYEpTIyBKUF3eCyNuRBRY9Ho9pk+f3mdbRkYGcnJyQtvvu+8+rF69GtnZ2TAYDHjwwQdRWVmJ+fPnh15TXl6OdevWYcWKFejq6sLatWtxxx13wGKxoL6+Ho899hhKS0uxZMmSKHxEIiIiGogkSXD0+KFTx3FaQQwWP3zhhRegUChwxx13wOv1YsmSJXj11Vf77FNXVwens3colVKpxGeffYa33noLDocDhYWFWLx4MX76059Cq9VGuzwiIiK6xK4TLVg4KVfuMoYkSJKUOLPGDMDlcsFoNMLpdMasP8vuEy24brI5JscmIiKSQyAo4qOTrbihPE+W94/k+s21hIiIiFKUNyAiUxf1my0xwcBCRESUonr8QWiUiREFEqNKIiIiiqoeXxA7jtuRnaGRu5SwJEY7EBEREUVNa5cXe0624vZZY6BRJUbbRWJUSURERFGTk6FBmkaJD0+0wNnjl7ucsDCwEBERpRhBELBkmgVVU/Lw8alWucsJCwMLERFRihIEAVp1YkSBxKiSiIiIos4bCEKjjO8Zbi9iYCEiIkpRWpUSbl9A7jLCwsBCRESUwsbmpON0S5fcZQyJgYWIiCiFlVsMONPmlruMITGwEBERpbCjTU6Mz82Uu4whMbAQERGlqC5vAHaXF+NzM+QuZUgMLERERCmquqEd1002y11GWBhYiIiIUpQgAAqFIHcZYWFgISIiSkFnWt1QJkhYAbj4IRERUUo5aetEQ6sbJTnpWDgpMW4HAQwsREREKaPmbAf0OhUWT7PIXUrEeEuIiIgoBfT4gnD2+DA5Xy93KcPCwEJERJQC9je04doEugX0VQwsREREKUCSAJUycS/7iVv5KJMkSe4SiIiIhsXjD8pdwogxsIRJEBJn6BcREdFFHn8QW45YsXBSrtyljAhHCRERESUpl8ePXXUtWD6zMKHmXOkPW1iIiIiSkChK2HncjuUVBQkfVgAGFiIioqS0s86Oqin5SdOlgYGFiIgoyQRFCaIEZGqTp+cHAwsREVGSqb3gxJyxWXKXEVUMLEREREnG6w9Cp06uS3xyfRoiIiLC+NwMnG5xy11GVDGwhIkTxxERUaLo8QehVSXXJT55euMQERGluKAo4e+nWiFKEq6bnLjrBvWHgSVMyTIsjIiIklO3L4Btx2y4aWo+0jXJd3lPvk9ERESUgmrOdmDJNAt0aqXcpcREct3gihH2XyEiong3rdCIo01OucuIGQaWMARFCaokmNaYiIiSV3aGBo5uv9xlxMyIAsv69eshCAIefvjh0DaPx4NVq1YhJycHmZmZuOOOO2Cz2QY9jiRJePrpp1FQUIC0tDQsWrQIJ0+eHElpUeUPMrAQEVH8UyTxtWrYgaW6uhobN25ERUVFn+2PPPIINm/ejLfffhu7d+9GU1MTvv71rw96rF/84hd4+eWXsWHDBuzfvx8ZGRlYsmQJPB7PcMuLKr8oQp1kw8OIiCi5dHr8UCuS91o1rE/W1dWFlStX4vXXX0dW1pdT/zqdTvzmN7/B888/jxtvvBFz5szBG2+8gY8//hj79u3r91iSJOHFF1/Ej3/8Y9x2222oqKjA7373OzQ1NeGvf/3rsD5UtPkDYlJ/ExARUeI72uTCzGKj3GXEzLCuwqtWrcKyZcuwaNGiPttramrg9/v7bC8vL0dJSQn27t3b77EaGhpgtVr7vMZoNGLevHkDvsbr9cLlcvV5xFJAlKBWJW8zGxERJT6PPwi9Ti13GTET8bDmTZs24eDBg6iurr7sOavVCo1GA5PJ1Gd7fn4+rFZrv8e7uD0/Pz/s16xbtw5r166NtPRh8wVEqNjCQkREcSzZx7NGdBVubGzEQw89hD/84Q/Q6XSxqmlIa9asgdPpDD0aGxtj+n4BUYJayRYWIiIiuUQUWGpqamC32zF79myoVCqoVCrs3r0bL7/8MlQqFfLz8+Hz+eBwOPq8zmazwWKx9HvMi9u/OpJosNdotVoYDIY+j1jyB0WolWxhISKi+JXsf1ZHdBWuqqpCbW0tDh06FHrMnTsXK1euDP1brVZj+/btodfU1dXh3LlzqKys7PeY48ePh8Vi6fMal8uF/fv3D/ia0eYPilCxhYWIiOKQJEnYf7oNiiRfQiaiPix6vR7Tp0/vsy0jIwM5OTmh7ffddx9Wr16N7OxsGAwGPPjgg6isrMT8+fNDrykvL8e6deuwYsWK0Dwuzz33HCZNmoTx48fjqaeeQmFhIW6//faRf8IoCAQlaNjCQkREcejdWivmT8hGTqZW7lJiKuprCb3wwgtQKBS444474PV6sWTJErz66qt99qmrq4PT+eX0wY899hjcbje+973vweFwYMGCBdiyZYus/WQu1dvCwsBCRETxJ12rTPqwAgCClAQL5bhcLhiNRjidzpj0Z9lb34bZY03QqpJzQSkiIkpcO4/bcUN5ntxlDEsk1282G4TBH+TEcUREJL+gKOGUvRNNjp7QwrxKhQCPPyhzZbEX9VtCyUhCcq/PQEREiWH75zZMKTDA5fHjaJMLKoUACRJaOr0ozk6Xu7yYYmAhIiJKEApBCAWTcosBQVFCp8cPU7pG5spij/c5wpAE3XyIiCgJVBQZsftES+hrpUJIibACMLCERUjyse1ERJQY8gw6jM/JwOFGh9yljDoGFiIiogRSkpOOlk6v3GWMOvZhISIiShBnWt041OjA3HFZcpcy6hhYiIiI4twFRw+OXHBiojkDt18xRu5yZMHAQkREFOcOnXNgWUWB3GXIin1YiIiI4lyBSYcOt0/uMmTFwEJERBTnCow62FOwo+2lGFiIiIji3PmOHozJSpO7DFkxsBAREcWxs21utHR6kalN7W6nDCxERERxyO0NYMsRK1w9AdwyI7U73AIcJURERBR3as52wO0NYPHUfC6++wW2sBAREcWRoCjB5vLg2slmhpVLMLAQERHFEaVCgEIAenxBuUuJKwwsREREcWbxVAt21dlxoKFd7lLiBgMLERFRnFEoBNw8owDeQBANrW65y4kLDCxERERxauEkM853dMPm8shdiuwYWIiIiOLYgtJcHGtyyV2G7DismYiIKA4dt7rQ7PAgKEqYPzFH7nJkx8BCREQUZw40tCMnU4MbyvPkLiVu8JYQERFRnOn2BTDRnCl3GXGFgYWIiIjiHgMLERFRnJHkLiAOMbAQERHFkUBQBCfkvxwDSxgkiVmXiIhGx6FGB2YVm+QuI+4wsIRBEJh1iYgo9nwBEa1dXpjSNXKXEnc4rJmIiGiUdbh9qDnbAaVSCN3+kQCoFAKHMg+AgYWIiGiUSJKEvfVtAICqKXlswY8AAwsREdEoONPqxufNLlROzOEtn2FgYCEiIoohf1DEjuN2FGWl4eYZBXKXk7AYWIiIiGLkXFs3jjQ5sWhKPjQqjnMZCQYWIiKiKGvt8uKTM+0oykrHLWxViQoGFiIioig6csEJV48fS6ZZ2Kk2iiJqn3rttddQUVEBg8EAg8GAyspKvPfee6Hn6+vrsWLFCpjNZhgMBtx5552w2WyDHvPZZ5+FIAh9HuXl5cP7NERERDJxewPYcqQZaqUCV5fmMqxEWUSBpaioCOvXr0dNTQ0++eQT3Hjjjbjttttw9OhRuN1uLF68GIIgYMeOHfj73/8On8+H5cuXQxTFQY87bdo0NDc3hx579uwZ0YciIiIaTZ83u3CgoR2Lp1pQZtHLXU5SiuiW0PLly/t8/bOf/QyvvfYa9u3bhwsXLuDMmTP49NNPYTAYAABvvfUWsrKysGPHDixatGjgIlQqWCyWYZRPREQkH0mSsLPOjkJTGid8i7Fhd1kOBoPYtGkT3G43Kisr4fV6IQgCtFptaB+dTgeFQjFki8nJkydRWFiICRMmYOXKlTh37tyg+3u9Xrhcrj4PIiKi0dTlDWDzZ82YOy4b5RaD3OUkvYgDS21tLTIzM6HVanH//ffjnXfewdSpUzF//nxkZGTg8ccfR3d3N9xuNx599FEEg0E0NzcPeLx58+bhzTffxJYtW/Daa6+hoaEBCxcuRGdn54CvWbduHYxGY+hRXFwc6ccgIiIatrNtbuw/3YblFQUw6NRyl5MSIg4sZWVlOHToEPbv348f/OAHuOeee3Ds2DGYzWa8/fbb2Lx5MzIzM2E0GuFwODB79mwoFAO/zc0334x/+Id/QEVFBZYsWYJ3330XDocDf/7znwd8zZo1a+B0OkOPxsbGSD8GERHRsJywdaK1y4uqKfnsWDuKIh7WrNFoUFpaCgCYM2cOqqur8dJLL2Hjxo1YvHgx6uvr0draCpVKBZPJBIvFggkTJoR9fJPJhMmTJ+PUqVMD7qPVavvceiIiIhoNjm4fLnT0sL+KDEY87Z4oivB6vX225ebmwmQyYceOHbDb7fja174W9vG6urpQX1+PggJOtENERPHDFxDx4clWXF9mlruUlBRRC8uaNWtw8803o6SkBJ2dnfjjH/+IXbt2YevWrQCAN954A1OmTIHZbMbevXvx0EMP4ZFHHkFZWVnoGFVVVVixYgUeeOABAMCjjz6K5cuXY+zYsWhqasIzzzwDpVKJu+66K4ofk4iIaPgkScJ7R5pxy4wC3gaSSUSBxW634+6770ZzczOMRiMqKiqwdetW3HTTTQCAuro6rFmzBu3t7Rg3bhyefPJJPPLII32OcfGW0UXnz5/HXXfdhba2NpjNZixYsAD79u2D2Rw/CVaSJLlLICKiUeQLiGhy9OCCowe+oAivX8QN5XlQK7kekFwEKQmuxi6XC0ajEU6nMzQHTDTtPtGC6ybHT4AiIqLY8AV6V1ZO1yhRkp2OQlMaFy2MoUiu31xLiIiICIDHH8TWo1bcMqOALSlxiIGFiIji1plWN5qcPcjN1KLUnAmFIjb9Ry6GlWUzCqBiWIlLPCtERBR3zrV1Y+tRK3xBEXPGZiFDq8L243bsO90Wk36F7x+z4daKQoaVOMYWFiIiiis1ZzsgCMCSaV+uMTfGlIYxpjS0dXmx+bNmLK8Y3midbl8AZ1q7Yev0QABQaEqDAKDAqIMyRq03FB0MLEREFBckScKO43ZMNGdiXG5Gv/vkZGoxb3w2jlxwYUaRMazjiqKEg+c60NrlQ3aGBmNz0jG10ABJktDk9MAfEHHluOxofhSKAQYWIiKS3cFzHWjp9GL+hBwY0wZfmyffoMORC04AgwcWu8uDz847oVQImFVswtxxmj7PC4KAMaa0kZZOo4SBJQxJMPKbiCjuiKKEj+vb4PEHUVFkxOySrLBfq1Yq4PEHoVMrL3uu3e1D9Zl25GZqsWhqfjRLJhkxsISBsxoSEUWXvdOD/afbce1k85AtKv2pnJiDzYebcMuMAujUSkiShMb2Hhy3umBK12DxVC5MmGwYWIiIaFS1u334rNGJ5TMLh30MtVKB5TMLUd3QDl9QBAAUZaXjJgaVpMXAEgbeEiIiip6jTc6orHasVipwdWluFCqiRMAB50OQJIlpnYgoioKixCHEFDEGliEERQlKBhYiIiJZMbAMISjxLwEiIiK5MbAMIShKUCkZWIiIiOTETrdDCPBeKxHRgNq6vDjU6Aj9nhQEITRQQQIgAJAkwJiuxvRCI/xBERqu10PDwMAyhGCQfViIiPpzptWNc+3dqJoy9ORsrV1eVJ9phyhJuHoiR/ZQ5BhYhiABUDCwEBFd5pS9K+yZZHMztcgt1ca4IkpmbJcjIqJh4e1yGk0MLERENCzpGiWcPX65y6AUwVtCREQUNl9ARJ21E61dXngDIjK1vIzQ6OB3GhERhaXJ0YNPzzlw1fhszCgyyl0OpRgGFiIiCsvRJheWVRTIXQalKAYWIiIa1AVHDz5vcqEoK03uUiiFMbAQEdGgDjc6cMsMtqyQvDhKiIiIBqXmzLQUB/hdOISLU0wTEaUqs16LxvZuucugFMdbQkMQJaC/iW4lScLe023wBkRAAgxpaswuMUHgrLhElGRmFZvw5+pGFGeny10KpTAGliFIkC6bmj8QFPF/tc24fnIejOlqAL0LgG3+rBnXTTKHthERJQvOakty4y2hoXylhSUQFPH/PmvG0umWPsEkJ1OL5RUF2HOqFc7u2M78eMHRg+NWF/xBMabvQ0R0UU6mRu4SKMUxsAzh4i0he6cHu0+04P1jNtw8wwKtSnnZvoIg4JYZFuw51YoubyDqtbg8fmw+3IROjx/GNDX2nGpF9Zn2qL8PERFRvOEtoSGka5XYd7oTE82ZuGZiDlRD9Ja/GFr+32fNmFVsivieryRJaOnywqBTQ6f+MhQ5u/3Yc6oVt1YUhPrJFBjTcMrehdrzTs46SUQxxfEHJDdBSoJhMC6XC0ajEU6nEwaDQe5yAPQGjxO2LjQ7eyBKEgRBwHWTzFAMch/Y2ePH7hMtmJCbAWePHx5/ECqlAqIkQatUoHJiTr+denfW2XFDWV4sPw4RpbAjF5wAgOlj+IcRRVck12+2sMSIIAgos+hRZtEDANzeAN4/ZsUEcyYm5+tD+0mShIZWN862dQMCsPySFhQiotG047gNgiBAo1RgfG4G7J1e2FweTDRnoDRPP/QBiGKIgWWUZGhVWDq9AKdburDzuB2CAEgABADjczNwfZl52EGF8YaIokEhCLi+LA8efxBn27pRkp2OWcUmucsiAsDAMuommDMxwZwZ1WMKggCPP9inzwsRUaR8gd6Rhzq1MtQ6TBQvOEooCVw9MQdP/OUzfFzfina3j8OdiWhYxuVm4PNml9xlEPUrosDy2muvoaKiAgaDAQaDAZWVlXjvvfdCz9fX12PFihUwm80wGAy48847YbPZhjzur371K4wbNw46nQ7z5s3DgQMHIv8kKUytVODFb16BiiITGtu7caChHbvq7NhVZ8fOLx6fnGlnkCGiQU3O18MbELHzuB2imPDjMSjJRDRKaPPmzVAqlZg0aRIkScJbb72FX/7yl/j0008xbtw4VFRUYObMmVi7di0A4KmnnkJTUxP27dsHhaL/bPSnP/0Jd999NzZs2IB58+bhxRdfxNtvv426ujrk5YU38iUeRwnFG5fHj4NnOxAUJVw32Tzk8Gwiij/+oIgDDb1/fEgADDoVZpdkRb2jvtsbwO4TLSiz6DExyrewiS4VyfV7xMOas7Oz8ctf/hLFxcW4+eab0dHREXpTp9OJrKwsvP/++1i0aFG/r583bx6uvPJKvPLKKwAAURRRXFyMBx98EE888URYNTCwhM/jD2L753bMHZeFfINO7nKIKAL/e+gClkyzhPqrtXR68cmZdtw8oyAm77e3vg3jczNgMfJ3BcVGJNfvYf+ZHQwGsWnTJrjdblRWVsLr9UIQBGi12tA+Op0OCoUCe/bs6fcYPp8PNTU1fcKMQqHAokWLsHfv3gHf2+v1wuVy9XlQeHRqJZZVFODTcw64YzAbLxHFRn1LF6YVGvt0rjfrtZg9NgufnuuIyXtWTszB0SZnTI5NFKmIA0ttbS0yMzOh1Wpx//3345133sHUqVMxf/58ZGRk4PHHH0d3dzfcbjceffRRBINBNDc393us1tZWBINB5Ofn99men58Pq9U6YA3r1q2D0WgMPYqLiyP9GClv8dR8/P1Uq9xlEFEYAkERx5pcKM27/PZMvkGHZqcHx60u7DnZil11dpyyd0XlfS+2sBDFg4gDS1lZGQ4dOoT9+/fjBz/4Ae655x4cO3YMZrMZb7/9NjZv3ozMzEwYjUY4HA7Mnj17wP4rw7VmzRo4nc7Qo7GxMarHTwUKhQA1+7EQxTW3N4Cdx+348GQLbpqaP+B+CyflwpSmwfwJ2bi+LA8qhYDNh5swkjv+Hn8QQVGK+jQMRMMV8TwsGo0GpaWlAIA5c+aguroaL730EjZu3IjFixejvr4era2tUKlUMJlMsFgsmDBhQr/Hys3NhVKpvGwkkc1mg8ViGbAGrVbb59YTDY9GpYAvIEKjYnAhiie+gIgdx+0wpKmwYFLukH9c6HVq6HVfrh4/LjcDuXotth61Yun04fVvOWXvwsQ8tq5Q/BjxlUoURXi93j7bcnNzYTKZsGPHDtjtdnzta1/r97UajQZz5szB9u3b+xxv+/btqKysHGlpNIQZRUZ8cparPRPFm49OtuDG8jxcPXHosDKQTK0KFUWmYa/o3tLpRYExbVivJYqFiFpY1qxZg5tvvhklJSXo7OzEH//4R+zatQtbt24FALzxxhuYMmUKzGYz9u7di4ceegiPPPIIysrKQseoqqrCihUr8MADDwAAVq9ejXvuuQdz587FVVddhRdffBFutxv33ntvFD8m9cegU8MbEOHs8cOYph76BUQUc6dbupCdoYlKy2ehKQ0nbJ1wefww6CL7GdfrVDjb5sbYHLayUHyIKLDY7XbcfffdaG5uhtFoREVFBbZu3YqbbroJAFBXV4c1a9agvb0d48aNw5NPPolHHnmkzzEu3jK66Bvf+AZaWlrw9NNPw2q1YtasWdiyZctlHXEpNq6fbMZ7R6y4anw2cjN5m41IToGgiBO2zmHfxunPdZPN+NvhJnxtZmG/87X4g70TxV28RXztZDN0aiXmjstG9Zl2dHoCXKWZ4sKI52GJB5yHZeR21tlRas5EcXa63KUQpaxPzrSjNC8TpnRNVI/r7PHj82YX5k/I6bM9EBSx+bMm3DKjAFqVEkFRwvtHrZiUrw+NSDpywQlJ6r2FTBRtozIPCyWXG8rycLatG2da3XKXQpSSHN0+OHv8UQ8rAHCo0YHCfvqj1JztwE1TLdCqeud2USqELyahk7DzeO/yHufauzEpnyOFSH5crZlCFkzKxfbPbcjO1ER8v5uIhs8fFPHRyVbcWhHdGWslScJbH5/BrTML+73l2+MPIr2fVd5L8/QozeNqzRRf2MJCfdxYnoedx+3wBoJyl0KUEi44erD5cBOWTLNEfU2g945YUTUlv9+wIkkSun1BKBTRfU+iWGFgoT4EQcCyGQXYXdcidylEKaHO6sLXZxfFZD6kbl+w3zXDOj1+bP6sGZVf6dNCFM94S4guo1IqOJkc0SgJirE79tdmFmLHcRvMei2uKM6C1eXB0SYXMrRKLJtRACVbVyiBMLBQv6LdNE1E/TPrtWjr8iInBtMKaFQKLJ1egA63Dx+ebEFupnbQKf6J4hkDCxGRjNRKAUExtrNLZGVocH1ZXkzfgyjW2O5PRCQje6cXef30MyGivhhYqF9i4s8nSBT32t2+Ea2oTJRKeEuI+qVTKdHp8fdZAZaIoudokxN2lxc3lrNPCVE4GFioX/PGZ2PzZwOvP0JEkTvU6EBHd2+rSqlZj2nlnO6eKFwMLNQvhUJA1ZR8vHfECotRh8n5emRq+e1CNBx2lwc1ZztQUWzCrGKT3OUQJSRegWhAmVoVbplRgLYuL443u9DlDQAALt5xN+jUKLMwyBAN5oStE+1u3xdr9BDRcPFKQ0PKydT2O0eEs9uPoxec6Pb1TuNfnJ0eWuF1KM4eP442OeH1i7j0jlNQlDCz2NTvVOJEieh8Rzf7qRBFAQMLDZsxXY15l0ztfbjRgZ3H7cAXAUQAoFUpoVYKEATA5QmEmmcMaSpcUZyFNE3fhdckScLBcx3475rzuLWiAIXGNK51QgnNH5QgSRL7ghGNkCAlwZg6l8sFo9EIp9MJg8Egdzl0CY8/iIAoQZSkiFaADgRFnGlzo8nhgXjJL3ulIGD2WBPSNczalBicPX7sO92Goqw0TCtkJ1uiS0Vy/WZgoYTiDQTxyZkOAMA1pbkyV5O6JEnC6VY3zrV1h1rU3N4AJuRmYmohfwb7c6zJBYUCKLfw/w/RRZFcv/lnKiUUrUqJa0pzcbqlC8etLv7yH2Udbh8+OdsBhQBMNGfi+jJzn1sdp+ydOHLBielj2JLwVVMLDXivtpnfs0TDxMBCCWmCORM7jtv4yz/KAkERx62d6Oj2QakQUGRKh8Wowyl7Fy44epCVrsaiKXkD9scozdNjZ519lKtOHK/sPIWrJ+bCmM4JGYkixan5KWGplQq0dHrlLiNpOHv8+L/aZuQZtKickIPZJVkIiCI+OdMOvU6Fm6bmY+647CE7j7Jr6cDuuqoEx60uucsgSkhsYaGEtXCSGdVn2nG40QGtWoEJ5kwUGnUcjTFMH51s6TOzsUrZ25I1wRzeUHWg95aRMY2tBwP51vyxvSPpiChiDCyU0K4clw2g91ZGfYsbO612GNPUmDM2Oybv5/EH8dl5J9y+QJ+WBEkC9DoVZpdkJdwwbEmSsPWoDfMn5Iw47B1rdmHuuKwoVZZ8xC9GzBFR5BhYKCmolAqUWfQos+jx8alWuL0BZIxwBl63N4BuXxDHrS4ExN6LjFalQEWRqd/ZfR3dPrx/zIbxuRkos+hH9N6joccXxL6GNgSDEion5kSlZcQXFKFVKYfeMUUdPNeBOWMZ6IiGg4GFks7ssVmoOdsx7GHPTY4eHLnghDFNjXSNCvMn5ECtHLq7lyldg6XTLfi82YUtR6yYUqBHgTENGlX8dBVraHXjTJsbkACNSoEFpblhfbZwzSwyYdsxG26aypld+9PpCfCWGdEwMbBQ0tGplfAGgsN6rTcQxOFGx4jWfZlSYEC5RY/TrW5Un2mHPyhetk9OhhZjc9MjmkxvpA40tCNDq8QNZXkxe4/sDA2mjzGg5ixbEvpTZtHj8+ZOzlVDNAwMLJSUcjO1+PRcByqKTFBG0KfkcKMTCyebR/z+giBgojkTE/vpsCpJEtrdPpy0dcLlCUAUJViMupjOgnqurRvpGuWozLRaYEzD580cCdOfQlMajlxwMrAQDQMDCyWliiITbC4P9pxqxVcnc66cmDNgP4surz/mq08LgnDZgpLnO7rx/lEr8gw6zCo2Rf09T9g6sWgUb9NcXBCTLmdK16DD7UNWhkbuUogSCgMLJa18gw75Bl2fbR5/EAcaem/TKAQBVxRnhSbx6nD7otqfIxJFWekoykpHs7MHfzvchFtnFERttNFJWycsRt3QO0bRSDs8J7M5Y7Ow51QrrotCSx5RKuFvFUopOrUSCyf1XigCQRGHGh3o9AQgCL3PLZB5faICYxrmTxBwrNl12fT2oihhX0MbenxBKBUCJAnQqhWYXZIFnfryFiN/UMTH9W3I1CpjNsx7IGlqJXp8wctW4yZAqRAgihzaTBQpBhZKWSqlAnPHje6FPBx5eh0OnXP0CSyiKOGvhy5g0dT8Ph11e3y9i0EGRBGCIPS5/aUQBFw5LkuWla0n5WWiztYZk9tbSSGxpuohigsMLERxaII5A7vq7Lh2khm2Tg8ONLRjQWnuZaOK0jRKLJgUf6tW52Rq8ek5h9xlyEaSpAEn4Tvb5ubQZqJhYGAhikOleXrkZmrx4ckWGNPUuG3WGLlLitiYrDScsneiNC/+J9GLhs/OO9DS6YVSIeCErRNjTOlI1ypDjSmCICAQFGHWazG7hEO+iSIlSF8dQpGAXC4XjEYjnE4nDAYOFySKF5+caYej24+qQVZ4TnSSJOGDz+0Yn5uB0rzw110iosiu32xhIaKYmTsuG3aXB9uO2ZCp7Z01ONHWWhrKtmM2lOZFtkgkEUWOgYWIYirPoMPiaRa4PH7srLNDEHo7BAO4rNUlJ0Nz2eioeJepU6HQlCZ3GURJj4GFiEaFQadG1ZTBJ69rcvRg61ErcjM1mF2SlRC3kXwBEdo4Wi+KKFlF9FP22muvoaKiAgaDAQaDAZWVlXjvvfdCz1utVnz729+GxWJBRkYGZs+ejb/85S+DHvPZZ5+FIAh9HuXl5cP7NESU0ApNaVgyzYKS7AxsPWpFY3u33CUNScLlLUVEFH0RtbAUFRVh/fr1mDRpEiRJwltvvYXbbrsNn376KaZNm4a7774bDocDf/vb35Cbm4s//vGPuPPOO/HJJ5/giiuuGPC406ZNwwcffPBlUSo2/BClMrNei6XTC/DBMRuyMzRxO3OuPyhyEjiiURJRC8vy5ctxyy23YNKkSZg8eTJ+9rOfITMzE/v27QMAfPzxx3jwwQdx1VVXYcKECfjxj38Mk8mEmpqaQY+rUqlgsVhCj9zc+JtXgohG343ledh2zAZf4PIVr+NB9Zl2XD2Rv6+IRsOwb7wGg0Fs2rQJbrcblZWVAICrr74af/rTn9De3g5RFLFp0yZ4PB5cf/31gx7r5MmTKCwsxIQJE7By5UqcO3du0P29Xi9cLlefBxElH4VCwLKKArx3pBneQPwtqOgLiFx+gGiURBxYamtrkZmZCa1Wi/vvvx/vvPMOpk6dCgD485//DL/fj5ycHGi1Wnz/+9/HO++8g9LS0gGPN2/ePLz55pvYsmULXnvtNTQ0NGDhwoXo7Owc8DXr1q2D0WgMPYqLiyP9GESUINRKBZbNKMDWoza0dHrlLqcP3gwiGj0RTxzn8/lw7tw5OJ1O/Pd//zf+4z/+A7t378bUqVPx4IMP4sCBA/j5z3+O3Nxc/PWvf8ULL7yAjz76CDNmzAjr+A6HA2PHjsXzzz+P++67r999vF4vvN4vf3G5XC4UFxdz4jiiJLf/dBs6PQFMztejJCdd1lokScLWozYsnW6RtQ6iRBbJxHEjnul20aJFmDhxIh577DGUlpbiyJEjmDZtWp/nS0tLsWHDhrCPeeWVV2LRokVYt25dWPtzplui1FJn7cTZNjeKstIxtVCen/njVhcMOjXnYCEagUiu3yOePEAURXi9XnR39w4/VCj6HlKpVEIUw+8w19XVhfr6ehQUFIy0NCJKUmUWPRZPs8AbCOKCo0eWGi509DCsEI2iiALLmjVr8OGHH+LMmTOora3FmjVrsGvXLqxcuRLl5eUoLS3F97//fRw4cAD19fX493//d2zbtg2333576BhVVVV45ZVXQl8/+uij2L17N86cOYOPP/4YK1asgFKpxF133RW1D0lEyemKkiycsA7c3y1Wmhw9MHDFZaJRFdHkBna7HXfffTeam5thNBpRUVGBrVu34qabbgIAvPvuu3jiiSewfPlydHV1obS0FG+99RZuueWW0DHq6+vR2toa+vr8+fO466670NbWBrPZjAULFmDfvn0wm81R+ohElMxiMWebKEqXrXnk9gZwps0Nq9MDlVKB6ybzdxTRaOJqzUSU0D480YL5E3KgGcH0+O1uH2ovOCGKEiRIvTPXSn3DUIZWhZLsdOQbdFGomogArtZMRCnkqvHZ+Li+FdeX5YW1fyAo4miTC+3dPgjoHZqcla7BNRNzoFJyTSCieMXAQkQJTadWwpCmxkcnW1A54fLQIYoSTrV04UJHb+dcpULAtEIDZhabZKiWiIaLgYWIEt7skix0evzYc6q13+cnmjNxQ3l4LTBEFJ8YWIgoKeh16rBvCxFR4uENWyIiIop7DCxEREQU9xhYiIiIKO4xsBAREVHcY2AhIiKiuMfAQkRERHGPgYWIiIjiHgMLERERxT0GFiIiIop7DCxEREQU9xhYiIiIKO4xsBAREVHcY2AhIiKiuMfAQkRERHFPJXcB0SBJEgDA5XLJXAkRERGF6+J1++J1fDBJEVg6OzsBAMXFxTJXQkRERJHq7OyE0WgcdB9BCifWxDlRFNHU1AS9Xg9BEOByuVBcXIzGxkYYDAa5y6N+8BzFP56j+MdzFN94foYmSRI6OztRWFgIhWLwXipJ0cKiUChQVFR02XaDwcBvkjjHcxT/eI7iH89RfOP5GdxQLSsXsdMtERERxT0GFiIiIop7SRlYtFotnnnmGWi1WrlLoQHwHMU/nqP4x3MU33h+oispOt0SERFRckvKFhYiIiJKLgwsREREFPcYWIiIiCjuMbAQERFR3Eu6wHLixAncdtttyM3NhcFgwIIFC7Bz584++wiCcNlj06ZNMlWcesI5Rxe1tbWhqKgIgiDA4XCMbqEpbKhz1NbWhqVLl6KwsBBarRbFxcV44IEHuJ7XKBnq/Bw+fBh33XUXiouLkZaWhilTpuCll16SseLUE87vuR/+8IeYM2cOtFotZs2aJU+hCSTpAsutt96KQCCAHTt2oKamBjNnzsStt94Kq9XaZ7833ngDzc3Nocftt98uT8EpKNxzBAD33XcfKioqZKgytQ11jhQKBW677Tb87W9/w4kTJ/Dmm2/igw8+wP333y9z5alhqPNTU1ODvLw8/P73v8fRo0fx5JNPYs2aNXjllVdkrjx1hPt77rvf/S6+8Y1vyFRlgpGSSEtLiwRA+vDDD0PbXC6XBEDatm1baBsA6Z133pGhQgr3HEmSJL366qvSddddJ23fvl0CIHV0dIxytakpknN0qZdeekkqKioajRJT2nDPzz//8z9LN9xww2iUmPIiPUfPPPOMNHPmzFGsMDElVQtLTk4OysrK8Lvf/Q5utxuBQAAbN25EXl4e5syZ02ffVatWITc3F1dddRV++9vfhrW0NY1cuOfo2LFj+MlPfoLf/e53Qy6IRdEVyc/RRU1NTfif//kfXHfddaNcbeoZzvkBAKfTiezs7FGsNHUN9xzREOROTNHW2NgozZkzRxIEQVIqlVJBQYF08ODBPvv85Cc/kfbs2SMdPHhQWr9+vaTVaqWXXnpJpopTz1DnyOPxSBUVFdJ//ud/SpIkSTt37mQLyygL5+dIkiTpm9/8ppSWliYBkJYvXy719PTIUG3qCff8XPT3v/9dUqlU0tatW0exytQWyTliC0t4EuJP1yeeeKLfjrKXPo4fPw5JkrBq1Srk5eXho48+woEDB3D77bdj+fLlaG5uDh3vqaeewjXXXIMrrrgCjz/+OB577DH88pe/lPETJr5onqM1a9ZgypQp+Na3viXzp0ou0f45AoAXXngBBw8exP/+7/+ivr4eq1evlunTJb5YnB8AOHLkCG677TY888wzWLx4sQyfLHnE6hxReBJiav6Wlha0tbUNus+ECRPw0UcfYfHixejo6OizlPekSZNw33334Yknnuj3tf/3f/+HW2+9FR6Ph2s+DFM0z9GsWbNQW1sLQRAAAJIkQRRFKJVKPPnkk1i7dm1MP0uyivXP0Z49e7Bw4UI0NTWhoKAgqrWnglicn2PHjuGGG27AP/7jP+JnP/tZzGpPFbH6GXr22Wfx17/+FYcOHYpF2UlDJXcB4TCbzTCbzUPu193dDQCX9XlQKBQQRXHA1x06dAhZWVkMKyMQzXP0l7/8BT09PaHnqqur8d3vfhcfffQRJk6cGMWqU0usf44uPuf1ekdQZeqK9vk5evQobrzxRtxzzz0MK1ES658hGlxCBJZwVVZWIisrC/fccw+efvpppKWl4fXXX0dDQwOWLVsGANi8eTNsNhvmz58PnU6Hbdu24ec//zkeffRRmatPDeGco6+GktbWVgDAlClTYDKZRrvklBPOOXr33Xdhs9lw5ZVXIjMzE0ePHsW//uu/4pprrsG4cePk/QBJLpzzc+TIEdx4441YsmQJVq9eHRpKq1Qqw7rg0siEc44A4NSpU+jq6oLVakVPT0+ohWXq1KnQaDQyVR/H5Os+ExvV1dXS4sWLpezsbEmv10vz58+X3n333dDz7733njRr1iwpMzNTysjIkGbOnClt2LBBCgaDMladWoY6R1/FTrejb6hztGPHDqmyslIyGo2STqeTJk2aJD3++OM8R6NkqPPzzDPPSAAue4wdO1a+olNMOL/nrrvuun7PU0NDgzxFx7mE6MNCREREqS0hRgkRERFRamNgISIiorjHwEJERERxj4GFiIiI4h4DCxEREcU9BhYiIiKKewwsREREFPcYWIiIiCjuMbAQERFR3GNgISIiorjHwEJERERxj4GFiIiI4t7/B2NMnD+bG5DfAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Below I plot these again by county no, with faded neighboring counties\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now finalize the corner lists.  Remember, our avgDistrictPop and normal pop threshold are 786629.867 196657\n",
      "You may suggest [ [3], [43] , [85] ] \n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if you want to manually add another corner-county cluster 1\n",
      "Type in a [county list], where the corner county is first in the list.  Or type 0 to stop [3]\n",
      "enter 1 if you want to manually add another corner-county cluster 1\n",
      "Type in a [county list], where the corner county is first in the list.  Or type 0 to stop [43]\n",
      "enter 1 if you want to manually add another corner-county cluster 1\n",
      "Type in a [county list], where the corner county is first in the list.  Or type 0 to stop [85]\n",
      "enter 1 if you want to manually add another corner-county cluster 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Our final pops and fused-county lists are...\n",
      "97574.0 [3]\n",
      "58240.0 [43]\n",
      "37102.0 [85]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aDP = float(statePop)/nDistricts\n",
    "maxCCBratio = 1./4.  #adjustable max fraction of district pop for corner county blocks.  Let's try 3/16\n",
    "maxCCBpop = maxCCBratio * aDP\n",
    "print(\"continuing from above, develop corner county blocks from each low-pop corner county until it hits\",r3(maxCCBratio),\"of\",int(aDP) )\n",
    "CCBlist, CCBpop, passThruList = list(), list(), list()  #\"waiveThru\" counties get chance to join a cluster even if high pop\n",
    "nFuses = 0\n",
    "for c in has1neighborCs:\n",
    "    print(\"checking if county\",c,\"with pop\",countyPop[c],\"and only 1 neighbor is less pop than\",int(maxCCBpop),\"vs districtPop\",int(aDP) )\n",
    "    if countyPop[c] > maxCCBpop:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "        nc = neighborCountyList[c][0]\n",
    "        plotPoly(countyGeom[nc],0.5)\n",
    "        plotPoly(MAP,0.2)\n",
    "        print(\"county\",c,\"has pop\",countyPop[c],\"and its only neighbor has pop\",countyPop[nc],\"vs districtPop\",aDP,\". Default = keep un-fused\")\n",
    "        print(\"enter 0 to keep\",c,\"as an unfused collection of units, 1 to fuse as one unit and stop, 2 to force-add at least the next closest county\")\n",
    "        fuseChoice = input(\"0, 1, or 2.  Any other input taken as a zero\")\n",
    "        if fuseChoice == 0:\n",
    "            keepUnfused = True\n",
    "            break\n",
    "        elif int(fuseChoice) == 1:\n",
    "            CCBlist.append([c])\n",
    "            CCBpop.append(countyPop[c])  \n",
    "            hasFewNeighborCs.append(c)  #this adds this [c] to the final list of fused units, but will fail to find more in below\n",
    "        elif int(fuseChoice) == 2:\n",
    "            CCBlist.append([c,nc ] )\n",
    "            CCBpop.append(countyPop[c] + countyPop[nc])\n",
    "            hasFewNeighborCs.append(c)\n",
    "            passThruList.append(c)   #pass on thru to the below 2neighbor logic even if too high-pop to qualify\n",
    "    else:\n",
    "        hasFewNeighborCs.append(c)  #normal case; we'll handle in next, more general, for loop            \n",
    "        \n",
    "for c in hasFewNeighborCs:\n",
    "    print(\"checking if county\",c,\"with pop\",countyPop[c],\"and 1 or 2 neighbors is less pop than\",int(maxCCBpop) )\n",
    "    if countyPop[c] < maxCCBpop :\n",
    "        CCBlist.append([c])\n",
    "        CCBpop.append(countyPop[c])\n",
    "        CCBno = CCBlist.index([c])\n",
    "    if c in passThruList:\n",
    "        CCBno = CCBlist.index([c,neighborCountyList[c][0] ])\n",
    "    if countyPop[c] < maxCCBpop or c in passThruList:            \n",
    "        CCBstarter = c\n",
    "        canAdd = True\n",
    "        while canAdd:\n",
    "            nbrSet = set()\n",
    "            for cc in CCBlist[CCBno]:\n",
    "                nbrSet = ( nbrSet.union(set(neighborCountyList[cc])) ).difference(set(CCBlist[CCBno]))\n",
    "            nPop = [countyPop[cc] for cc in nbrSet]\n",
    "            nDist = [countyGeom[cc].centroid.distance(countyGeom[CCBstarter].centroid) for cc in nbrSet]\n",
    "            idx = np.argsort(nDist)\n",
    "            nbrList, newList = list(nbrSet), list()\n",
    "            for i in range(len(nDist)):  #add counties, closest to starter that will fit until over\n",
    "                cc = nbrList[idx[i]]\n",
    "                if CCBpop[CCBno] + countyPop[cc] < maxCCBpop:\n",
    "                    newList.append(cc)\n",
    "                    CCBlist[CCBno].append(cc)\n",
    "                    CCBpop[CCBno] += countyPop[cc]\n",
    "                    #print(\"adding county\",cc,\"with pop\",countyPop[cc],\"to list started by\",CCBstarter,\".Cluster pop now\",CCBpop[CCBno]  )\n",
    "            if newList == list():  #no eligible neighbor counties found; stop\n",
    "                canAdd = False\n",
    "                for cc in CCBlist[CCBno]:\n",
    "                    plotPoly(countyGeom[cc])\n",
    "                    plotCenter(CCBno,countyGeom[cc])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "                    \n",
    "print(\"Below I plot these again by county no, with faded neighboring counties\")\n",
    "plotPoly(MAP,0.15)\n",
    "for L in CCBlist:\n",
    "    print(CCBlist.index(L),\" \",L)\n",
    "    for c in L:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "        for cc in list(set(neighborCountyList[c]).difference(L) ):\n",
    "            plotPoly(countyGeom[cc],0.4)\n",
    "            plotCenter(cc,countyGeom[cc],8)\n",
    "plt.show()\n",
    "rejectList = list()\n",
    "print(\"Now finalize the corner lists.  Remember, our avgDistrictPop and normal pop threshold are\",r3(aDP), int(maxCCBpop))\n",
    "print(\"You may suggest [ [3], [43] , [85] ] \" )\n",
    "for i,L in enumerate(CCBlist):\n",
    "    if L[0] not in passThruList:  #if we forced the fused-counties list above, don't give option here to modify\n",
    "        print(\"let's decide whether to delete, accept, or modify list\",L,\"with pop\",CCBpop[i] )\n",
    "        isOK = input(\"enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list)\")\n",
    "        if not (isOK == 1 or isOK == str(1)) :\n",
    "            if isOK == 0 or isOK == str(0) :\n",
    "                rejectList.append(L)\n",
    "            else:\n",
    "                notGood = True\n",
    "                while notGood:       \n",
    "                    Lnew = ast.literal_eval(isOK)        \n",
    "                    if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                        notGood = False\n",
    "                    else:\n",
    "                        print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                        isOK = input(\"Try again here \")\n",
    "                print(\"OK, I will replace\",L,\"with\",Lnew)\n",
    "                CCBpop[i] = np.sum( [countyPop[c] for c in Lnew] )\n",
    "                CCBlist[i] = Lnew.copy()\n",
    "for L in rejectList:\n",
    "    del CCBpop[ CCBlist.index(L)]\n",
    "    del CCBlist[CCBlist.index(L)]\n",
    "stillAdding = True\n",
    "while stillAdding:\n",
    "    addMore = input(\"enter 1 if you want to manually add another corner-county cluster\")\n",
    "    if int(addMore) != 1:\n",
    "        stillAdding = False\n",
    "    else:\n",
    "        isOK = input(\"Type in a [county list], where the corner county is first in the list.  Or type 0 to stop\")\n",
    "        if isOK == 0 or isOK == str(0) :\n",
    "            print(\"OK, we'll stop adding corner clusters\")\n",
    "            stillAdding = False\n",
    "        else:\n",
    "            notGood = True\n",
    "            while notGood:       \n",
    "                Lnew = ast.literal_eval(isOK)        \n",
    "                if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                    notGood = False\n",
    "                    for L in CCBlist:\n",
    "                        if set(L).intersection(set(Lnew)) != set(list()) :\n",
    "                            notGood = True\n",
    "                            print(\"OOPS! The following inputted counties are already in\",L,\":\",set(L).intersection(set(Lnew)) )\n",
    "                            isOK = input(\"Try again here \")\n",
    "                    if notGood == False:\n",
    "                        CCBlist.append(Lnew)\n",
    "                        CCBpop.append( np.sum( [countyPop[c] for c in Lnew] ) )\n",
    "                else:\n",
    "                    print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                    isOK = input(\"Try again here \")\n",
    "print(\"Our final pops and fused-county lists are...\")\n",
    "allFusedCounties = list()\n",
    "CCBgeom = [dummyPoly for L in CCBlist ]\n",
    "CCBcp = list()\n",
    "for i, L in enumerate(CCBlist):\n",
    "    CCBcp.append( getHDcp([countyCP[c] for c in L], [countyPop[c] for c in L], [ j for j in range(len(L)) ] ) )\n",
    "    print(CCBpop[i],L)\n",
    "    pops, CPs = list(), list()\n",
    "    for c in L:\n",
    "        if c == L[0]:\n",
    "            CCBgeom[i] = countyGeom[c]\n",
    "        else:\n",
    "            CCBgeom[i] = CCBgeom[i].union(countyGeom[c])\n",
    "        allFusedCounties.append(c)\n",
    "        pops += countyPop[c]       #  IS THIS EVEN USED?\n",
    "        CPs.append(countyCP[c])   #  IS THIS EVEN USED?\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(i,countyGeom[c])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "206c9372-8ec8-4190-93ed-04df286466e0",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now identify the border counties + border fused units, and interior small counties with pop < 15732\n",
      "We defined a total of 5 unit (but not corner-cluster) counties in the map, excluding the cut-out districts\n"
     ]
    }
   ],
   "source": [
    "maxWholeBorderCountyPop = 0.02 * aDP   #to encourage contiguity, border counties > 0.02 aDP will be forced whole\n",
    "maxInteriorBorderCountyPop = 0.02 * aDP\n",
    "print(\"now identify the border counties + border fused units, and interior small counties with pop <\", int(maxInteriorBorderCountyPop))\n",
    "unitCounties, borderCounties = list(), list()\n",
    "origMAP = MAP\n",
    "if MAP.geom_type == dummyPoly.geom_type:\n",
    "    MAPexterior = MAP.exterior\n",
    "else:\n",
    "    maxArea = 0\n",
    "    for geo in MAP.geoms:\n",
    "        if geo.area > maxArea:\n",
    "            MAPexterior = geo.exterior\n",
    "            maxArea = geo.area\n",
    "            MAP0 = geo\n",
    "    MAP = MAP0\n",
    "for c in uncutCountyList:\n",
    "    if countyGeom[c].intersects(MAPexterior):\n",
    "        borderCounties.append(c)\n",
    "        if c not in allFusedCounties:\n",
    "            if countyPop[c] < maxWholeBorderCountyPop:\n",
    "                unitCounties.append(c)\n",
    "    else:\n",
    "        if countyPop[c] < maxInteriorBorderCountyPop and c not in allFusedCounties:\n",
    "            unitCounties.append(c)\n",
    "print(\"We defined a total of\",len(unitCounties),\"unit (but not corner-cluster) counties in the map, excluding the cut-out districts\")        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e0ff719c-59dc-4827-a522-11bd352f7524",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For this state, do we have a lot of populated fragmented VTDs?\n",
      "706 fragmented VTDs out of 8941\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FYI, here are the locations of fragmented VTDs with pop > 3000\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"For this state, do we have a lot of populated fragmented VTDs?\")\n",
    "nFragmentedVTDs,fragmentedVTDs = 0, list()\n",
    "for v in populatedTractList:\n",
    "    c = countyNo[v]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        if vtdGeom[v].geom_type != dummyPoly.geom_type :  #a multipoly vtd-based unit\n",
    "            nFragmentedVTDs +=1\n",
    "            fragmentedVTDs.append(v)\n",
    "print(len(fragmentedVTDs),\"fragmented VTDs out of\",nVTDs)\n",
    "fragPop = [tractPop[v] for v in fragmentedVTDs]\n",
    "plt.hist(fragPop)\n",
    "plt.show()\n",
    "print(\"FYI, here are the locations of fragmented VTDs with pop > 3000\")\n",
    "for v in fragmentedVTDs:\n",
    "    if tractPop[v] > 3000:\n",
    "        plotPoly(vtdGeom[v])\n",
    "plotPoly(MAP,0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "ec79d0b6-a118-4778-b650-2a351a6fe0c7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets visualize the Marblehead peninsula, so we can collapse to Danbury and connect to Bayview\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Lets visualize the Marblehead peninsula, so we can collapse to Danbury and connect to Bayview\")\n",
    "for c in [21]: #[21, 61]\n",
    "    for v in countyTractList[c]:\n",
    "        if tractCPx[v]< -82.5 and tractCPx[v] > -83.1 and tractCPy[v] > 41.41:\n",
    "            plotPoly(tractGeom[v])\n",
    "            plotCenter(v,tractGeom[v],8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "0240e244-4cfe-4fee-8336-1a7af28f4d21",
   "metadata": {},
   "outputs": [],
   "source": [
    "sdedLists = [ [1006, 925, 926, 927, 928, 935, 937, 986, 988], [3739] ] \n",
    "sders = [933, 3622]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "ff6c40a8-9a10-4cd5-b26e-af327cec1abe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for v in countyTractList[72]:\n",
    "    if tractCPx[v] < -82.9 and tractCPx[v] > -83.1 and tractCPy[v] < 38.8:\n",
    "        plotPoly(tractGeom[v])\n",
    "        plotCenter(v,tractGeom[v])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "71d771f8-dbe2-48f9-a702-9f66a62d1174",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now writing the master list of units, which may be individual vtd's (+surrounds), whole counties, or corner county clusters\n",
      "I split up 706 fragmented VTDs. Now define unit neighbor lists and fuse geometries of surrounds.\n",
      "looking for surrounds, now working on vtd 0\n",
      "looking for surrounds, now working on vtd 500\n",
      "looking for surrounds, now working on vtd 1001\n",
      "looking for surrounds, now working on vtd 1502\n",
      "looking for surrounds, now working on vtd 2002\n",
      "looking for surrounds, now working on vtd 2502\n",
      "looking for surrounds, now working on vtd 3003\n",
      "looking for surrounds, now working on vtd 3503\n",
      "looking for surrounds, now working on vtd 4004\n",
      "looking for surrounds, now working on vtd 4505\n",
      "looking for surrounds, now working on vtd 5006\n",
      "looking for surrounds, now working on vtd 5506\n",
      "looking for surrounds, now working on vtd 6006\n",
      "looking for surrounds, now working on vtd 6506\n",
      "looking for surrounds, now working on vtd 7006\n",
      "looking for surrounds, now working on vtd 7506\n",
      "looking for surrounds, now working on vtd 8006\n",
      "looking for surrounds, now working on vtd 8507\n",
      "On loop 2 for county 41  we found that vtd frag 98 now has only 1 neighbor 8962\n",
      "On loop 2 for county 86  we found that vtd frag 189 now has only 1 neighbor 8996\n",
      "On loop 2 for county 15  we found that vtd frag 1922 now has only 1 neighbor 9332\n",
      "On loop 2 for county 20  we found that vtd frag 5334 now has only 1 neighbor 9805\n",
      "On loop 2 for county 68  we found that vtd frag 10033 now has only 1 neighbor 10036\n",
      "On loop 2 for county 31  we found that vtd frag 7621 now has only 1 neighbor 10544\n",
      "special for OH , I believe that [334, 343] are surrounded by vtd (fragment) 312 . Here, let me show you\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to apply the surrounding operation 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "special for OH , I believe that [1006, 925, 926, 927, 928, 935, 937, 986, 988] are surrounded by vtd (fragment) 933 . Here, let me show you\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to apply the surrounding operation 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "special for OH , I believe that [3739] are surrounded by vtd (fragment) 3622 . Here, let me show you\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to apply the surrounding operation 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After surround checks, we appear to have 9770 building blocks defined. We captured 745 surrounded VTDs\n",
      "working on unit neighbor lists for county 0\n",
      "WARNING - unit 2910  = vtd 2752 in county 6 has only 1 neighbor= [2911] . Optional triage in next block\n",
      "WARNING - unit 2965  = vtd 2800 in county 6 has only 1 neighbor= [2966] . Optional triage in next block\n",
      "working on unit neighbor lists for county 20\n",
      "working on unit neighbor lists for county 40\n",
      "working on unit neighbor lists for county 60\n",
      "working on unit neighbor lists for county 80\n",
      "All done creating unit lists\n"
     ]
    }
   ],
   "source": [
    "#3/2/24 - split up all multipoly VTDs into fragments, divvy pop by area\n",
    "unitPop, unitCP, unitGeom, nbrUnitGeom, allUnits = list(), list(), list(), list(), list()\n",
    "vtdUnits, countyUnits, borderUnits = list(),list(),list()\n",
    "countyUnitList = [list() for c in range(nCounties) ]\n",
    "surroundedVTDs, surrounders = list(), list()  #vtds that are surrounded by another vtd - problem for later enclaves, xfer their pops to surrounders\n",
    "#These surrounded VTDs don't get transferred to the unit list\n",
    "print(\"Now writing the master list of units, which may be individual vtd's (+surrounds), whole counties, or corner county clusters\")\n",
    "for c in unitCounties:\n",
    "    unitCP.append(countyCP[c])\n",
    "    unitPop.append(countyPop[c])\n",
    "    unitGeom.append(   countyGeom[c] )\n",
    "    nbrUnitGeom.append(countyGeom[c] )\n",
    "    countyUnits.append(c)\n",
    "    allUnits.append(c+0.5)  #use non-integers to avoid vtd and county and cluster confusion\n",
    "\n",
    "nVTDneighbors = [0 for v in range(nVTDs)] #this loop -- just checking for surrounded VTDs\n",
    "lastVTDneighbor = [-999 for v in range(nVTDs)]\n",
    "\n",
    "nFragmentedVTDs,fragmentedVTDs, coastalFragmentedVTDs = 0, list(), list()  #a prev version treated coastal separately\n",
    "fragVTDgeom, parentVTDno, fragVTDpop = vtdGeom.to_list(), [v for v in range(nVTDs)], tractPop.to_list()  #these lists will expand to include vtd fragments \n",
    "origVTDgeom = vtdGeom.copy() #we create a parallel fragVTDgeom list which grabs the 1st fragment, then append fragments to the total list\n",
    "origVTDpop = tractPop.copy()\n",
    "VTDchildren = [[v] for v in range(nVTDs)]  #the list of all fragment numbers associated with the original VTD, including ones that get surrounded\n",
    "countyFragVTDset = [set(countyTractList[c]) for c in range(nCounties)]\n",
    "for v in populatedTractList:\n",
    "    c = countyNo[v]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        if vtdGeom[v].geom_type != dummyPoly.geom_type :  #a multipoly vtd-based unit\n",
    "            nFragmentedVTDs +=1\n",
    "            fragmentedVTDs.append(v)\n",
    "            geos, areas = [geo for geo in vtdGeom[v].geoms ], [geo.area for geo in vtdGeom[v].geoms]\n",
    "            for i, geo in enumerate(geos):\n",
    "                if i == 0:\n",
    "                    fragVTDgeom[v] = geo\n",
    "                    fragVTDpop[v] = tractPop[v] * areas[i] / np.sum(areas)  #overwrite, then distribute balance below\n",
    "                else:\n",
    "                    fNo = len(fragVTDgeom)\n",
    "                    fragVTDgeom.append(geo)\n",
    "                    fragVTDpop.append( tractPop[v] * areas[i] / np.sum(areas) )\n",
    "                    parentVTDno.append(v)\n",
    "                    countyFragVTDset[c].add(fNo )\n",
    "                    VTDchildren[v].append(fNo)\n",
    "                    nVTDneighbors.append(0)\n",
    "                    lastVTDneighbor.append(-999)\n",
    "                    \n",
    "print(\"I split up\",nFragmentedVTDs,\"fragmented VTDs. Now define unit neighbor lists and fuse geometries of surrounds.\")\n",
    "\n",
    "debugV = -7616\n",
    "for kk,V in enumerate(populatedTractList):\n",
    "    if kk%500 == 0:\n",
    "        print(\"looking for surrounds, now working on vtd\",V)\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties:\n",
    "        for v in VTDchildren[V]:\n",
    "            for vv in countyFragVTDset[c].difference({v}) :\n",
    "                if fragVTDgeom[vv].intersects(fragVTDgeom[v]):\n",
    "                    nVTDneighbors[v] +=1\n",
    "                    lastVTDneighbor[v] = vv\n",
    "                    if v == debugV:\n",
    "                        print(\"I just added neighbor\",vv,\"to magicV\",v)\n",
    "                #if nVTDneighbors[v] >= 4:  #Enough to have >=2 even after surrounds.  Will do full neighbor list later\n",
    "                #    break\n",
    "            if nVTDneighbors[v] < 4:  #OK if a vtd has only 1 intracounty neighbor IF it touches another county, it's not surrounded\n",
    "                for cc in neighborCountyList[c]:\n",
    "                    if fragVTDgeom[v].intersects(countyGeom[cc]):\n",
    "                        if cc not in unitCounties + allFusedCounties:\n",
    "                            for vv in countyFragVTDset[cc] :\n",
    "                                if fragVTDgeom[vv].intersects(fragVTDgeom[v]):\n",
    "                                    nVTDneighbors[v] +=1\n",
    "                                    lastVTDneighbor[v] = vv\n",
    "                            if nVTDneighbors[v] == 1:\n",
    "                                print(\"WARNING. vtd frag\",v,\"in county\",c,\"intersected county\",cc,\"but had no intracounty neighbors\")\n",
    "                                plotPoly(fragVTDgeom[v],2)\n",
    "                                plotCenter(\"iso\",fragVTDgeom[v])\n",
    "                                plotPoly(countyGeom[cc])\n",
    "                        else:\n",
    "                            nVTDneighbors[v] +=1\n",
    "                            if nVTDneighbors[v] == 1:\n",
    "                                raise Exception(\"neighborless vtd fragment\",v,\"neighbors a unit or fused county\",cc)                                \n",
    "            if v == debugV:\n",
    "                print(v,\"has\",nVTDneighbors[v],\"neighbors.  its last is\",lastVTDneighbor[v])\n",
    "                \n",
    "for loop in range(3): #to catch surrounds of surrounds\n",
    "    for V in populatedTractList:\n",
    "        c = countyNo[V]\n",
    "        if c not in allFusedCounties and c not in unitCounties: \n",
    "            for v in VTDchildren[V]:\n",
    "                if nVTDneighbors[v] == 1:\n",
    "                    vv = lastVTDneighbor[v]\n",
    "                    if v in surrounders:  #transferring surrounded of surrounds to master surrounder\n",
    "                        for sNo, s in enumerate(surroundedVTDs):\n",
    "                            if surrounders[sNo] == v:\n",
    "                                surrounders[sNo] = vv\n",
    "                    surroundedVTDs.append(v)\n",
    "                    surrounders.append(vv)\n",
    "                    nVTDneighbors[vv] -=1\n",
    "                    nVTDneighbors[v] -=1 #in case this surrounder becomes a later surroundee\n",
    "                    fragVTDpop[vv] += fragVTDpop[v]\n",
    "                    fragVTDpop[v] = 0\n",
    "                    if lastVTDneighbor[vv] == v:  #find another neighbor in case this surrounder is also a surroundee in loop 2\n",
    "                        for vvv in countyFragVTDset[c]:\n",
    "                            if vvv not in [v,vv]:\n",
    "                                if fragVTDgeom[vvv].intersects(fragVTDgeom[vv]):\n",
    "                                    lastVTDneighbor[vv] = vvv\n",
    "                    if lastVTDneighbor[vv] == v:\n",
    "                        print(\"WARNING.  We did not find another neighbor of surrounder\",vv,\"other than surroundee\",v)\n",
    "                    if loop > 0:\n",
    "                        print(\"On loop\",loop+1,\"for county\",c,\" we found that vtd frag\",v,\"now has only 1 neighbor\",vv)\n",
    "if STATE == \"OH\":  #state-specific manual surround enforcement\n",
    "    #c = 72\n",
    "    #print(\"visualizing VTD fragments in county\",c)\n",
    "    #for v in countyFragVTDset[c]:\n",
    "    #    plotPoly(fragVTDgeom[v])\n",
    "    #    plotCenter(v, fragVTDgeom[v])\n",
    "    #plt.show()\n",
    "    #print(\"I recommend surrounded = [334, 343] and surrounder = 312\")\n",
    "    #specialSurrounded = ast.literal_eval(input(\"enter the [v1, v2, ...] list of surrounded fragVTDs from above map\"))\n",
    "    #specialSurrounder = int(input(\"enter the fragVTDno that surrounds these\"))\n",
    "    specialSurroundedLists = [ [334, 343] ] + sdedLists\n",
    "    specialSurrounders = [312] + sders \n",
    "    for ijk, specialSurrounded in enumerate(specialSurroundedLists):\n",
    "        specialSurrounder = VTDchildren[specialSurrounders[ijk]][0]\n",
    "        print(\"special for\",STATE,\", I believe that\", specialSurrounded,\"are surrounded by vtd (fragment)\",specialSurrounder,\". Here, let me show you\")\n",
    "        c = countyNo[parentVTDno[specialSurrounder]]\n",
    "        plotPoly(countyGeom[c], 0.5)\n",
    "        for V in specialSurrounded:            \n",
    "            for v in VTDchildren[V]:\n",
    "                plotPoly(fragVTDgeom[v])\n",
    "                plotCenter(v,fragVTDgeom[v])\n",
    "            plotPoly(fragVTDgeom[specialSurrounder],0.2)\n",
    "            plotCenter(specialSurrounder, fragVTDgeom[specialSurrounder], 8)\n",
    "        plt.show()\n",
    "        shouldIcombine = int(input(\"enter 1 to apply the surrounding operation\"))\n",
    "        if shouldIcombine == 1:\n",
    "            for v in specialSurrounded:\n",
    "                vv = specialSurrounder\n",
    "                if v in surrounders:  #transferring surrounded of surrounds to master surrounder\n",
    "                    for sNo, s in enumerate(surroundedVTDs):\n",
    "                        if surrounders[sNo] == v:\n",
    "                            surrounders[sNo] = vv\n",
    "                surroundedVTDs.append(v)\n",
    "                surrounders.append(vv)\n",
    "                nVTDneighbors[vv] -=1\n",
    "                nVTDneighbors[v] = 0 #we are capturing all surroundees (some of whom may touch other surroundees)\n",
    "                fragVTDpop[vv] += fragVTDpop[v]\n",
    "                fragVTDpop[v] = 0\n",
    "\n",
    "\n",
    "for V in populatedTractList:\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        for v in VTDchildren[V]:\n",
    "            if nVTDneighbors[v] >1:\n",
    "                unitCP.append(fragVTDgeom[v].centroid)\n",
    "                unitGeom.append(fragVTDgeom[v])\n",
    "                unitPop.append(fragVTDpop[v])   #for now, ratio pop by area, not block decomposition\n",
    "                vtdUnits.append(v)   #if a border unit, we'll catch in below big loop, after checking for surround\n",
    "                allUnits.append(v)\n",
    "#for V in populatedTractList:\n",
    "#    c = countyNo[V]\n",
    "#    if c not in allFusedCounties and c not in unitCounties:  \n",
    "#        for v in VTDchildren[V]: \n",
    "for V in populatedTractList:\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        for v in VTDchildren[V]:\n",
    "            if nVTDneighbors[v] == 1:  #a surrounded VTD, transfer its pop to surrounder unit.  Don't bother with shifting centerpoints\n",
    "                print(\"somehow we missed 1-neighbor vtd frag\",v,\" with last vtd frag nbr\",lastVTDneighbor[v])\n",
    "            if nVTDneighbors[v] == 0 and v not in surroundedVTDs:\n",
    "                print(\"WARNING. unsurrounded vtd\",v,\"had no found neighbors\")\n",
    "\n",
    "for i, L in enumerate(CCBlist):\n",
    "    unitCP.append( CCBcp[i] )\n",
    "    unitPop.append(CCBpop[i])\n",
    "    unitGeom.append(   CCBgeom[i])\n",
    "    nbrUnitGeom.append(CCBgeom[i])\n",
    "    allUnits.append(i+0.25)  #use alt non-integers to avoid vtd and county and cluster confusion\n",
    "\n",
    "nUnits = len(allUnits)\n",
    "print(\"After surround checks, we appear to have\",nUnits,\"building blocks defined. We captured\",len(surroundedVTDs),\"surrounded VTDs\")\n",
    "\n",
    "unitNbrs = [list() for u in range(nUnits)]\n",
    "countyUnitList = [list() for c in range(nCounties)]\n",
    "for c in uncutCountyList:\n",
    "    for v in countyFragVTDset[c]:\n",
    "        if v in allUnits:\n",
    "            countyUnitList[c].append(allUnits.index(v))\n",
    "\n",
    "sketchyList = list()\n",
    "for c in uncutCountyList:\n",
    "    if c%20 == 0:\n",
    "        print(\"working on unit neighbor lists for county\",c)\n",
    "    if c not in allFusedCounties:  #see a separate loop below for cluster-cluster neighbors\n",
    "        if c in unitCounties:    \n",
    "            u = allUnits.index(c+0.5)\n",
    "            for cc in neighborCountyList[c]:\n",
    "                if cc not in allFusedCounties:\n",
    "                    if cc in unitCounties:\n",
    "                        unitNbrs[u].append(allUnits.index(cc+0.5))  #we'll catch the complement in the cc county's loop\n",
    "                    else:\n",
    "                        for uu in countyUnitList[cc] :\n",
    "                            if countyGeom[c].intersects(unitGeom[uu]):\n",
    "                                unitNbrs[u].append(uu)\n",
    "                                unitNbrs[uu].append(u)\n",
    "            for i,geo in enumerate(CCBgeom):\n",
    "                if geo.intersects(countyGeom[c]):\n",
    "                    unitNbrs[u].append(allUnits.index(i+0.25) )\n",
    "                    unitNbrs[allUnits.index(i+0.25) ].append(u)\n",
    "        else:  #non-unit county      \n",
    "            for u in countyUnitList[c] :\n",
    "                for uu in list( set(countyUnitList[c]).difference({u}) ) :\n",
    "                    if unitGeom[u].intersects(unitGeom[uu]):\n",
    "                        unitNbrs[u].append(uu )  #will catch complement later in this county's loop\n",
    "                for cc in neighborCountyList[c]:\n",
    "                    if cc not in allFusedCounties and cc not in unitCounties: #see an above block for handling unitCounties\n",
    "                        for uu in countyUnitList[cc]:\n",
    "                            if unitGeom[u].intersects(unitGeom[uu]):\n",
    "                                unitNbrs[u].append(uu )\n",
    "\n",
    "            for u in countyUnitList[c] :\n",
    "                for i,geo in enumerate(CCBgeom):\n",
    "                    if geo.intersects(unitGeom[u]):\n",
    "                        unitNbrs[u].append(allUnits.index(i+0.25) )\n",
    "                        unitNbrs[allUnits.index(i+0.25) ].append(u)\n",
    "                if len(unitNbrs[u]) == 0:\n",
    "                    print(\"ERROR - unit\",u,\" = vtd\",allUnits[u],\"in county\", c,\"has no neighbors\")\n",
    "                if len(unitNbrs[u]) == 1:  #after fragmentation, this unit appears surrounded.  Next block to confirm it has non-intracounty neighbors                       \n",
    "                    print(\"WARNING - unit\",u,\" = vtd\",allUnits[u],\"in county\", c,\"has only 1 neighbor=\",unitNbrs[u],\". Optional triage in next block\")\n",
    "                    sketchyList.append([u,unitNbrs[u][0] ] )\n",
    "\n",
    "CCBunits = CCBlist.copy()                        \n",
    "for i, geo in enumerate(CCBgeom):  #this loop: only cluster-cluster intersections.  Cluster-vtd and cluster-county neighbors already found above.\n",
    "    for ii in range(i+1,len(CCBgeom) ) :\n",
    "        if geo.intersects(CCBgeom[ii]):\n",
    "            unitNbrs[allUnits.index(i+0.25) ].append(allUnits.index(ii+0.25) ) #all CCB-county, CCB-vtd intersxns already covered\n",
    "            unitNbrs[allUnits.index(ii+0.25)].append(allUnits.index(i+0.25) )\n",
    "print(\"All done creating unit lists\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "94741893-6835-45ac-9793-64cbaf4823b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sketchy unit 2910 has neighbor list [2911, 1]\n",
      "sketchy unit 2965 has neighbor list [2966, 0]\n"
     ]
    }
   ],
   "source": [
    "for L in sketchyList:  #hope that some of these flagged units picked up unit-county or CCB neighbors\n",
    "    print(\"sketchy unit\",L[0], \"has neighbor list\",unitNbrs[L[0]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "08e639ac-3b6c-4b3f-9cb7-c510b445445b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for c in [21, 61]: #[21, 61]\n",
    "    for v in countyTractList[c]:\n",
    "        if tractCPx[v]< -82.5 and tractCPx[v] > -83.1 and tractCPy[v] > 41.41:\n",
    "            for u in range(nUnits):\n",
    "                if allUnits[u] == v:\n",
    "                    plotPoly(unitGeom[u])\n",
    "                    plotCenter(u,unitGeom[u],8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "dddd99fa-6b55-4028-9275-68cd39c5de2a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NOTE FOR OHIO - Danbury and Bay View are connected by a bridge.  I connected ...\n",
      "... units [1098, 3989] after running the blocks to make the HDs contiguous.  The unit topology file is now updated\n"
     ]
    }
   ],
   "source": [
    "connectors = [1098, 3989]\n",
    "for i in range(len(connectors)):\n",
    "    for ii in range(len(connectors)):\n",
    "        if i != ii:\n",
    "            unitNbrs[connectors[i]].append(connectors[ii])\n",
    "print(\"NOTE FOR OHIO - Danbury and Bay View are connected by a bridge.  I connected ...\")\n",
    "print(\"... units\",connectors,\"after running the blocks to make the HDs contiguous.  The unit topology file is now updated\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "cb4277b4-d6ef-4c8c-aa23-6fde227379ff",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in range(nUnits):\n",
    "    if allUnits[u] - int(allUnits[u]) == 0.25:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "e79873ab-0b8e-48a9-b4b0-05b3135b9cc3",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "8378940d-4387-4188-8ae1-a62010500ecb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now build the border topology\n",
      "counties and clusters done, now working on (frag) vtd-based units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Now build the border topology\")\n",
    "borderUnits, borderType = list(), list()\n",
    "for c in borderCounties:\n",
    "    if c in unitCounties:\n",
    "        borderUnits.append(allUnits.index(c+0.5))\n",
    "        borderType.append(\"county\")\n",
    "for i,L in enumerate(CCBlist):\n",
    "    if CCBgeom[i].intersects(MAPexterior):  #should always be the case\n",
    "        borderUnits.append(allUnits.index(i+0.25))\n",
    "        borderType.append(\"cluster\")\n",
    "print(\"counties and clusters done, now working on (frag) vtd-based units\")\n",
    "for c in borderCounties:\n",
    "    if c not in unitCounties + allFusedCounties:\n",
    "        for u in countyUnitList[c]:\n",
    "            if unitGeom[u].intersects(MAPexterior):\n",
    "                borderUnits.append(u)\n",
    "                borderType.append(\"vtd\")                \n",
    "    \n",
    "for i,b in enumerate(borderUnits):\n",
    "    plotPoly(unitGeom[b])\n",
    "    if borderType[i] == \"cluster\":\n",
    "        j = int(allUnits[b])\n",
    "        for c in CCBlist[j]:\n",
    "            plotPoly(countyGeom[c],0.2)\n",
    "            plotCenter(\"fused\",countyGeom[c], 6)\n",
    "for c in unitCounties:\n",
    "    plotPoly(countyGeom[c],0.4)\n",
    "    plotCenter(\"unit\",countyGeom[c],8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "297f4949-f308-4cf3-b3dc-6a3ba5e7b456",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in countyUnitList[21]:\n",
    "    if unitCP[u].y > 41.435 and unitCP[u].x < -82.65:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitCP[u],8)\n",
    "#plotPoly(unitGeom[1098],2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "a9c5f7d9-a69b-421e-8ebc-4bef4f3c19a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "newList = [3862,3866,3989,3999, 3861,4001, 3857,3864, 3865, 3876]  #3856 already in\n",
    "for u in newList:\n",
    "    plotPoly(unitGeom[u])\n",
    "    for uu in unitNbrs[u]:\n",
    "        if uu not in newList and unitCP[uu].y > 41.43:\n",
    "            plotPoly(unitGeom[uu],0.2)\n",
    "            plotCenter(uu,unitGeom[uu])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "a945feba-2f8a-43c7-8687-ba3f7d17d891",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plotPoly(unitGeom[3859])\n",
    "for u in unitNbrs[3859]:\n",
    "    plotPoly(unitGeom[u])\n",
    "    plotCenter(u,unitCP[u])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "15c515d1-88f7-40ef-ae98-0e5618ae0328",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "False\n",
      "True\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "print(3860 in borderUnits)\n",
    "print(3866 in borderUnits)\n",
    "print(1098 in borderUnits)\n",
    "print(3989 in borderUnits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "49568a9c-97d2-44f5-986c-d1ff514d54c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "borderUnits += newList"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "cf33a2b5-402b-4115-ba3b-ec18c9c197d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for c in [21,61]:\n",
    "    for u in countyUnitList[c]:\n",
    "        if len(set(unitNbrs[u]).intersection(set(borderUnits))) > 0:\n",
    "            plotPoly(unitGeom[u])\n",
    "            plotCenter(u,unitCP[u])\n",
    "plt.show()\n",
    "                "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "c30c2f1e-c44a-4f3d-b19b-5d94444b35a9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[3990, 3992, 3861, 6281]\n",
      "[1100, 1102, 1106, 1108, 1015]\n"
     ]
    }
   ],
   "source": [
    "print(unitNbrs[3989])\n",
    "print(unitNbrs[1098])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "d1df3172-3a5f-469f-a150-3f77f675dbd8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in borderUnits:\n",
    "    if unitCP[u].y > 41 and unitCP[u].x < -82.5 and unitCP[u].x > -83.2:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitCP[u])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "937d923d-9e95-45e9-9aef-77cb4377781d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking that the list of borderUnits is contiguous all around\n",
      "number of border units = 358\n"
     ]
    }
   ],
   "source": [
    "print(\"checking that the list of borderUnits is contiguous all around\")\n",
    "print(\"number of border units =\",len(borderUnits))\n",
    "nLoop = 0\n",
    "for u in borderUnits:\n",
    "    isUnbroken, smallPieceList = isContiguous(list(set(borderUnits).difference({u})),unitNbrs)\n",
    "    if not isUnbroken:\n",
    "        nLoop +=1\n",
    "        print(\"border is discontig if we skip\",u)\n",
    "        if nLoop < 3:  #avoid excessive printing\n",
    "            for uu in smallPieceList:\n",
    "                plotPoly(unitGeom[uu],0.5)\n",
    "                plotCenter(\"n\"+str(uu),unitGeom[uu])\n",
    "            plotCenter(u,unitGeom[u])\n",
    "            plotPoly(unitGeom[u])\n",
    "            plt.show()\n",
    "borderSet = set(borderUnits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "93603f77-77fa-4453-b54b-5ea07fcb6721",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here, we identify 'border' units that aren't needed to define the map border\n",
      "Bueno! no 'border units' that could be eliminated from the border set\n"
     ]
    }
   ],
   "source": [
    "print(\"here, we identify 'border' units that aren't needed to define the map border\")\n",
    "canBeRemoved, powerNeighbors = set(), set()\n",
    "for u in borderUnits:\n",
    "    uNeighbors = list(borderSet.intersection(set(unitNbrs[u])) )\n",
    "    if len(uNeighbors) < 2:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "        uu = uNeighbors[0]\n",
    "        otherBorderNeighbors = set(unitNbrs[uu]).intersection(borderSet).difference({u})\n",
    "        if len(otherBorderNeighbors) > 1:  #this neighbor of our 1-border-neighbor border unit makes a border chain without the problem border unit\n",
    "            canBeRemoved.add(u)\n",
    "            powerNeighbors.add(uu)\n",
    "        plotCenter(uu,unitGeom[uu],6)\n",
    "        plotPoly(unitGeom[uu],0.5)\n",
    "        for uuu in set(unitNbrs[uu]).intersection(borderSet).difference({u}):\n",
    "            plotPoly(unitGeom[uuu])\n",
    "            plotCenter(str(uuu)+\"=N of\"+str(uu),unitGeom[uuu])\n",
    "        for uuu in set(unitNbrs[u]).difference(borderSet):\n",
    "                plotCenter(uuu+0.1,unitGeom[uuu],6)\n",
    "                plotPoly(unitGeom[uuu],0.1)\n",
    "        c = countyNo[allUnits[u]]\n",
    "        #plotPoly(countyGeom[c] )\n",
    "        #plotCenter(c, countyGeom[c])\n",
    "        plt.show()\n",
    "if len(canBeRemoved) == 0:\n",
    "    print(\"Bueno! no 'border units' that could be eliminated from the border set\")\n",
    "else:\n",
    "    print(canBeRemoved,\"is the list of 1-neighbor 'border' units that can be eliminated from the border set\")\n",
    "    print(\"... as they are enveloped on the border; the enveloping border unit has two other map-border neighbors\")\n",
    "    yesRemove = input(\"enter 1 to remove these from the list of border units\")\n",
    "    if int(yesRemove) == 1:\n",
    "        canRemove = True\n",
    "        for uu in powerNeighbors:\n",
    "            testSet = (borderSet.difference(canBeRemoved)).difference({uu})\n",
    "            if not isContiguous(list(testSet),unitNbrs):\n",
    "                canRemove = False\n",
    "                print(\"We can't complete the border if unit\",uu,\"is not included in the ring\")\n",
    "        if canRemove:\n",
    "            borderSet = borderSet.difference(canBeRemoved)\n",
    "            borderList = list(borderSet)\n",
    "            borderUnits = list(borderSet)\n",
    "            print(\"Success! we removed\",canBeRemoved,\"from the list of borderUnits\")\n",
    "    else:\n",
    "        print(\"Fine, be that way.  Sheesh, I will keep them.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "b13c68e3-33ed-48b3-acca-78012ce0bf61",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here is the final border set\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in borderUnits:\n",
    "    plotPoly(unitGeom[u])\n",
    "print(\"here is the final border set\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "6ef3ef57-2a72-431e-8229-e290979ffe53",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "109 3856\n",
      "353 3856\n"
     ]
    }
   ],
   "source": [
    "for i,b in enumerate(borderUnits):\n",
    "    for ii, bb in enumerate(borderUnits):\n",
    "        if b == bb and i != ii:\n",
    "            print(i,b)\n",
    "borderUnits = list(set(borderUnits))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "173bb175-312b-4d08-a5b5-80a1d5d70416",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "print(isContiguous(borderUnits,unitNbrs)[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "fc1ae6e1-ef52-412b-a966-e9739071af8f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For safekeeping, write the unit topology to a file\n"
     ]
    }
   ],
   "source": [
    "date_ = \"06May24\"\n",
    "print(\"For safekeeping, write the unit topology to a file\")  \n",
    "unitParentVTDno = [-999 for u in range(nUnits)]\n",
    "for u in range(nUnits):    \n",
    "    if allUnits[u] %1 == 0:\n",
    "        v = allUnits[u]\n",
    "        unitParentVTDno[u] = parentVTDno[v]\n",
    "\n",
    "unitVTDlist = [list() for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        unitVTDlist[u] = [allUnits[u]]\n",
    "        #for i,uu in enumerate(surrounders):  #no longer tracked\n",
    "         #   if u == uu:\n",
    "         #       unitVTDlist[u].append(surroundedVTDs[i])\n",
    "                \n",
    "unitNo = [u for u in range(nUnits)]\n",
    "unitCPx, unitCPy = [unitCP[u].x for u in range(nUnits)], [unitCP[u].y for u in range(nUnits)]\n",
    "onBorder = [0 for u in range(nUnits)]\n",
    "for u in borderUnits:\n",
    "    onBorder[u] = 1\n",
    "nbrDF = pd.DataFrame( {\"unitNo\":unitNo,\"centroid x\":unitCPx,\"centroid y\":unitCPy,\"unitPop\":unitPop,\"onBorder\":onBorder,\n",
    "                       \"neighborList\":unitNbrs, \"unitVTDlist\":unitVTDlist, \"unitParentVTDno\": unitParentVTDno, \"allUnits\":allUnits} )\n",
    "outname = STATE+\"unitTopologies_\"+date_+\".csv\" \n",
    "outpath = \"state_map_files/\"+outname\n",
    "nbrDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "d4baaea4-7af4-4407-aeb3-f4291d335f89",
   "metadata": {},
   "outputs": [],
   "source": [
    "vtdGeom = tractGeom.copy()  #optional reset if we need to rerun the below clipPoly routine with alternate clipPolys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "abdd07e7-f9be-480a-9d3d-b3948eeaaa2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "toSquishCountiesList = list()   #default; if we did not have any clipPoly's to move in\n",
    "nClips = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "4d5fdc3c-6126-4fa8-b484-1d0052c70aed",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "for some states like FL, MD, MN, NC we move in partial counties via clipPoly's before running option 2\n",
      "adding code here to 'push in' state panhandles ...\n",
      "performing squish no 1 for state NJ\n",
      "clipPoly 0 intersects [4] counties and a total of 85 units\n",
      "Here is the original cutLine and an alternate based on cut shapes\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "These are your orig (faint) and squished shapes for clip no 1 out of 1\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 when ready 1\n"
     ]
    }
   ],
   "source": [
    "#starting with MN, we moved the \"option2\" block earlier in the notebook, as we run it before running option 1 (as in other states)\n",
    "print(\"for some states like FL, MD, MN, NC we move in partial counties via clipPoly's before running option 2\")\n",
    "vtdCP = tractCP.copy()\n",
    "#CODE TO SQUISH GEOMETRIES FROM CLIP LINES INTO THE MAP\n",
    "print(\"adding code here to 'push in' state panhandles ...\")\n",
    "trimDF = pd.read_csv(\"state_map_files/cutNclipPolyLists.csv\")\n",
    "stateRows = trimDF[\"state\"].to_list()\n",
    "DFrow = stateRows.index(STATE)\n",
    "nClips = trimDF[\"nClipPoly\"][DFrow]\n",
    "nCuts  = trimDF[\"nCutPoly\"][DFrow]\n",
    "#Adding in here trimming ops\n",
    "toSquishUnitsList = list()\n",
    "toSquishGeomsList = list()  #combined list of geoms we will squish (over all squish operations)\n",
    "toSquishCountiesList = list()\n",
    "squishedShapesList = list()   #unit shapes after squishing, list over all squish operations\n",
    "if nClips > 0:\n",
    "    clipPoints = ast.literal_eval(trimDF[\"clipPoints\"][DFrow])   #sets of four points\n",
    "    farPoints  = ast.literal_eval(trimDF[\"farPoints\"][DFrow])    #pairs of points\n",
    "    newFarPoints  = ast.literal_eval(trimDF[\"newFarPoints\"][DFrow])   #pairs\n",
    "    cPts = [Point(clipPoints[i][0],clipPoints[i][1]) for i in range(len(clipPoints)) ]\n",
    "    fPts = [Point(farPoints[i][0],farPoints[i][1]) for i in range(len(farPoints)) ]\n",
    "    nfPts = [Point(newFarPoints[i][0],newFarPoints[i][1]) for i in range(len(newFarPoints)) ]\n",
    "    \n",
    "    for clipNo in range(nClips):\n",
    "        print(\"performing squish no\",clipNo+1,\"for state\",STATE)\n",
    "        n0,n1,n2,n3 = int(4*clipNo), int(4*clipNo+1), int(4*clipNo+2), int(4*clipNo+3)\n",
    "        clipPoly = Polygon([cPts[n0],cPts[n1],cPts[n2],cPts[n3] ] )\n",
    "        cutLine = LineString([cPts[n0],cPts[n1]] )\n",
    "        farLine = LineString([fPts[int(2*clipNo)],fPts[int(2*clipNo+1)] ] )\n",
    "        newFarLine = LineString([nfPts[int(2*clipNo)],nfPts[int(2*clipNo+1)] ])\n",
    "        \n",
    "        toSquishCounties = list()\n",
    "        toSquishUnits = list()\n",
    "        for c in range(nCounties):\n",
    "            if clipPoly.intersects(countyGeom[c]):\n",
    "                toSquishCounties.append(c)\n",
    "                if clipPoly.contains(countyGeom[c]):\n",
    "                    toSquishUnits = toSquishUnits + countyTractList[c]\n",
    "                else:\n",
    "                    for t in countyTractList[c]:\n",
    "                        if clipPoly.contains(vtdCP[t]):\n",
    "                            toSquishUnits.append(t)\n",
    "        print(\"clipPoly\",clipNo,\"intersects\",toSquishCounties,\"counties and a total of\",len(toSquishUnits),\"units\")\n",
    "        toSquishGeomUnion = vtdGeom[toSquishUnits[0]]\n",
    "        toSquishGeoms = list()\n",
    "        for t in toSquishUnits:\n",
    "            toSquishGeomUnion = toSquishGeomUnion.union(vtdGeom[t])\n",
    "            toSquishGeoms.append(vtdGeom[t])\n",
    "        unclippedGeom = MAP.difference(toSquishGeomUnion)\n",
    "        altCutLine = toSquishGeomUnion.buffer(0.001).intersection(unclippedGeom)\n",
    "        print(\"Here is the original cutLine and an alternate based on cut shapes\")\n",
    "        #plotPoly(MAP,0.1)\n",
    "        plotPoly(cutLine.buffer(0.02))\n",
    "        plotPoly(altCutLine,0.1)\n",
    "        plt.show()\n",
    "        # could use altCutLine for a more accurate squish at the squish-no_squish boundary ...\n",
    "        #newShapes = squish(clippedGeomList, altCutLine, farLine, newFarLine)\n",
    "        squishedShapes = squish(toSquishGeoms, cutLine, farLine, newFarLine) #..but may distort results\n",
    "        toSquishUnitsList.append(toSquishUnits)\n",
    "        toSquishGeomsList.append(toSquishGeoms)\n",
    "        toSquishCountiesList.append(toSquishCounties)\n",
    "        squishedShapesList.append(squishedShapes)\n",
    "        for geo in toSquishGeoms:\n",
    "            plotPoly(geo,0.1)\n",
    "            plotPoly(geo.centroid.buffer(0.004),0.1)\n",
    "        for geo in squishedShapes:\n",
    "            plotPoly(geo)\n",
    "            plotPoly(geo.centroid.buffer(0.002),0.4)\n",
    "        print(\"These are your orig (faint) and squished shapes for clip no\",clipNo+1,\"out of\",nClips)\n",
    "        plt.show()\n",
    "        pause = input(\"enter 1 when ready\")    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "62667c48-6c66-4381-b01d-518af61651bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "#now apply the squish to all impacted vtds.  \"tractGeom\" will retain original vtd shapes, so we can reset if needed\n",
    "for i, vList in enumerate(toSquishUnitsList):\n",
    "    squishedShapes = squishedShapesList[i]\n",
    "    for j, v in enumerate(vList):\n",
    "        vtdGeom[v] = squishedShapes[j]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "7b967d22-41fb-454f-ae47-d72d712daa4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for t in range(nTracts):  #optional full state visualization after squish\n",
    "    if t not in allCutVTDs and t not in skipList:\n",
    "        plotPoly(vtdGeom[t])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9715564f-3b60-43e5-9f1f-02f3dcee3933",
   "metadata": {},
   "outputs": [],
   "source": [
    "c = 22  #pick a county for visualization if desired\n",
    "print(\"here are the faint(original) and squished shapes for county\",c)\n",
    "for t in countyTractList[c]:\n",
    "    plotPoly(vtdGeom[t])\n",
    "    plotPoly(tractGeom[t],0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "760bc48e-0236-4ad7-b3b8-d74795009f53",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"alternate simple approach for Florida Keys - translate all toward county CP\")\n",
    "c = 43\n",
    "vtdGeom = tractGeom.copy()  #a reset\n",
    "nTranslated = 0\n",
    "newCP = Point(-81, 25.1)\n",
    "for v in countyTractList[c]:\n",
    "    if clipPoly.contains(tractCP[v]):\n",
    "        xDelta, yDelta = newCP.x - tractCP[v].x, newCP.y - tractCP[v].y\n",
    "        xOFF, yOFF = 0.95 * xDelta, 0.95 * yDelta\n",
    "        vtdGeom[v] = translate(vtdGeom[v],xoff= xOFF, yoff=yOFF)\n",
    "        nTranslated +=1\n",
    "print(\"I translated\",nTranslated,\"vtds toward the center of county\",c)\n",
    "hdCP = [vtdGeom[v].centroid for v in range(nTracts)]\n",
    "countyGeom[c] = vtdGeom[countyTractList[c][0]]\n",
    "for v in countyTractList[c]:\n",
    "    countyGeom[c] = countyGeom[c].union(vtdGeom[v])\n",
    "    plotPoly(hdCP[v].buffer(0.03))\n",
    "plotPoly(countyGeom[c])\n",
    "unsquishedMAP = MAP\n",
    "MAP = countyGeom[uncutCountyList[0]]\n",
    "for c in uncutCountyList:\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "#plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "4ef91f8f-dabb-4c58-a8a4-bba8e725e586",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here we compute the map's convex hull. We can build out of whole counties or after squish operations.\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to use shifted shapes (e.g. for MD, MN), else enter 0 for most states to use uncut counties 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on confirming HD center 0 is inside the map's convex hull\n",
      "working on confirming HD center 500 is inside the map's convex hull\n",
      "working on confirming HD center 1001 is inside the map's convex hull\n",
      "working on confirming HD center 1502 is inside the map's convex hull\n",
      "working on confirming HD center 2002 is inside the map's convex hull\n",
      "working on confirming HD center 2502 is inside the map's convex hull\n",
      "working on confirming HD center 3003 is inside the map's convex hull\n",
      "working on confirming HD center 3503 is inside the map's convex hull\n",
      "working on confirming HD center 4004 is inside the map's convex hull\n",
      "working on confirming HD center 4505 is inside the map's convex hull\n",
      "working on confirming HD center 5006 is inside the map's convex hull\n",
      "working on confirming HD center 5506 is inside the map's convex hull\n",
      "working on confirming HD center 6006 is inside the map's convex hull\n",
      "working on confirming HD center 6506 is inside the map's convex hull\n",
      "working on confirming HD center 7006 is inside the map's convex hull\n",
      "working on confirming HD center 7506 is inside the map's convex hull\n",
      "working on confirming HD center 8006 is inside the map's convex hull\n",
      "working on confirming HD center 8507 is inside the map's convex hull\n",
      "Here is the convex hull and shape and a dot map of the (shifted) unit centerpoints\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Note the MAP convex hull.  Overwrite with your own polygon if desired.\n"
     ]
    }
   ],
   "source": [
    "#OPTION 2 - draw polygonal HDs.  #REQUIRES CONSISTENT TREATMENT OF CCB'S \n",
    "#For GA, MA, MD, MN, NC we draw HDs for ALL vtds, even if they are in a CCB.  We use the clipPoly's to squish in the corners for these HD shapes\n",
    "#Not sure if below would work if we have cut districts AND squished-in corners\n",
    "#We normally draw for each (squished or orig) vtd.  Or, read in tract or blockgroup geometries, use those pops and unit centerpoints\n",
    "\n",
    "hdCP = [vtdGeom[v].centroid for v in range(nTracts)]  #remember, this is after any squish operation\n",
    "print(\"Here we compute the map's convex hull. We can build out of whole counties or after squish operations.\")\n",
    "useSquish = int(input(\"enter 1 to use shifted shapes (e.g. for MD, MN), else enter 0 for most states to use uncut counties\"))\n",
    "if useSquish == 1:\n",
    "    convexMAP = hdCP[countyTractList[uncutCountyList[0]][0]].buffer(0.1) \n",
    "    for v in range(nTracts):\n",
    "        if v not in skipList and v not in allCutVTDs:\n",
    "            convexMAP = convexMAP.union(hdCP[v].buffer(0.1))\n",
    "else:  #build the map via simple union of counties not wholly in fully cut-out districts\n",
    "    convexMAP = countyGeom[uncutCountyList[0]]\n",
    "    for c in uncutCountyList:\n",
    "        convexMAP = convexMAP.union(countyGeom[c])\n",
    "    #convexMAP = MAP.centroid\n",
    "    #for c in range(nCounties):\n",
    "    #    if c not in allFusedCounties:\n",
    "    #        convexMAP = convexMAP.union(countyGeom[c])\n",
    "MAPhull = convexMAP.convex_hull.buffer(0.01*convexMAP.area**0.5)\n",
    "plotPoly(MAPhull)\n",
    "popHDlist = list()\n",
    "for t in range(nTracts):\n",
    "    if t not in allCutVTDs and t not in skipList:  #keep low-pop tracts as VEST may have assigned voters to them\n",
    "        popHDlist.append(t)\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on confirming HD center\",t,\"is inside the map's convex hull\")\n",
    "    if hdCP[t].disjoint(convexMAP.convex_hull):\n",
    "        plotPoly(hdCP[t].buffer(0.03))\n",
    "        hdCP[t] = nearest_points(convexMAP.convex_hull,hdCP[t])[0]\n",
    "        plotCenter(\"m\",hdCP[t])\n",
    "    else:\n",
    "        plotPoly(hdCP[t].buffer(0.01))\n",
    "plotPoly(convexMAP)\n",
    "plotPoly(convexMAP.convex_hull)\n",
    "plotPoly(MAPhull)\n",
    "for c in allFusedCounties:\n",
    "    plotPoly(countyGeom[c],0.2)\n",
    "print(\"Here is the convex hull and shape and a dot map of the (shifted) unit centerpoints\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Note the MAP convex hull.  Overwrite with your own polygon if desired.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "8393e96a-75c6-48ec-94e8-1f6fe58d31df",
   "metadata": {},
   "outputs": [],
   "source": [
    "nHDs = nTracts  #need to run this if we start option 2 from a vest list, not a previously run HD poly list\n",
    "HDcountyNo = countyNo.copy()\n",
    "populatedTractList = popHDlist.copy()  #nomenclature equivalency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "bcaf6ea2-1c3b-48c1-9ad6-937d7b7e4385",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let us establish the (post-squish) point-point distances for all HD centers, about 8 min for 4000-unit state\n",
      "working on tract-tract distances for unit 0 out of 8941 . Time = 0\n",
      "working on tract-tract distances for unit 400 out of 8941 . Time = 151\n",
      "working on tract-tract distances for unit 800 out of 8941 . Time = 308\n",
      "working on tract-tract distances for unit 1202 out of 8941 . Time = 444\n",
      "working on tract-tract distances for unit 1602 out of 8941 . Time = 527\n",
      "working on tract-tract distances for unit 2002 out of 8941 . Time = 627\n",
      "working on tract-tract distances for unit 2402 out of 8941 . Time = 737\n",
      "working on tract-tract distances for unit 2802 out of 8941 . Time = 844\n",
      "working on tract-tract distances for unit 3203 out of 8941 . Time = 957\n",
      "working on tract-tract distances for unit 3603 out of 8941 . Time = 1040\n",
      "working on tract-tract distances for unit 4004 out of 8941 . Time = 1127\n",
      "working on tract-tract distances for unit 4404 out of 8941 . Time = 1206\n",
      "working on tract-tract distances for unit 4806 out of 8941 . Time = 1279\n",
      "working on tract-tract distances for unit 5206 out of 8941 . Time = 1345\n",
      "working on tract-tract distances for unit 5606 out of 8941 . Time = 1404\n",
      "working on tract-tract distances for unit 6006 out of 8941 . Time = 1462\n",
      "working on tract-tract distances for unit 6406 out of 8941 . Time = 1508\n",
      "working on tract-tract distances for unit 6806 out of 8941 . Time = 1551\n",
      "working on tract-tract distances for unit 7206 out of 8941 . Time = 1589\n",
      "working on tract-tract distances for unit 7606 out of 8941 . Time = 1620\n",
      "working on tract-tract distances for unit 8006 out of 8941 . Time = 1640\n",
      "working on tract-tract distances for unit 8407 out of 8941 . Time = 1649\n",
      "working on tract-tract distances for unit 8807 out of 8941 . Time = 1655\n",
      "All done; total elapsed  1655 seconds for OH with 15 districts to map\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "our maxD was 2.5\n"
     ]
    }
   ],
   "source": [
    "#continuing option 2 ....... ##########  THIS IS FOR TRACT - TRACT, despite the \"unit\" nomenclature\n",
    "print(\"Let us establish the (post-squish) point-point distances for all HD centers, about 8 min for 4000-unit state\")\n",
    "#NOTE: FOR LARGE STATES, RESTRICT THE SEARCH TO COUNTIES WITHIN A 3/SQRT(nDistrict) DIAMETER OF THE HOME UNIT\n",
    "uuDist = [[int(maxD+1) for t in range(nHDs)] for t in range(nHDs)] #default: too big to capture\n",
    "closeCountyList = [list() for c in range(nCounties)]\n",
    "closeCountyDist = maxD   #min(maxD,3./float(nDistricts)**0.5 * maxD )  #use above maxD for these counties as well\n",
    "xScaleSquared = xScale*xScale\n",
    "if nDistricts < 10: #closeCountyDist >= maxD:  #small state\n",
    "    closeCountyList = [[i for i in range(nCounties)] for c in range(nCounties)]  #all counties are close enough\n",
    "else:\n",
    "    for c in uncutCountyList:\n",
    "        closeCountyList[c].append(c)\n",
    "        for cc in range(c+1,nCounties):\n",
    "            if cc in uncutCountyList:\n",
    "                if cc in neighborCountyList[c]:\n",
    "                    closeCountyList[c].append(cc)\n",
    "                    closeCountyList[cc].append(c)\n",
    "                else:    \n",
    "                    dist = getLongDist(countyCP[c], countyCP[cc],xScale)\n",
    "                    if dist < closeCountyDist:\n",
    "                        closeCountyList[c].append(cc)\n",
    "                        closeCountyList[cc].append(c)\n",
    "startTime = time.time()\n",
    "\n",
    "for i,t in enumerate(populatedTractList):\n",
    "    if i %400 == 0:\n",
    "        print(\"working on tract-tract distances for unit\",t,\"out of\",nHDs,\". Time =\",int(time.time() - startTime))\n",
    "    uuDist[t][t] == 0.\n",
    "    for tt in populatedTractList:\n",
    "        if tt > t and (HDcountyNo[tt] in closeCountyList[HDcountyNo[t]] or HDcountyNo[t] == HDcountyNo[tt]):  #time-saver; do the triangle matrix\n",
    "                dist = getLongDist(hdCP[t], hdCP[tt],xScale)\n",
    "                uuDist[t][tt], uuDist[tt][t] = dist, dist\n",
    "print(\"All done; total elapsed \",int(time.time()-startTime),\"seconds for\",STATE,\"with\",nDistricts,\"districts to map\" )\n",
    "plt.hist(uuDist)\n",
    "plt.show()\n",
    "print(\"our maxD was\",maxD)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "2f392acb-ba52-4343-80ae-a58ba0b57366",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "similar to above, but for angles\n",
      "working on unit-unit angles for unit 0 out of 8941 . Time = 0\n",
      "working on unit-unit angles for unit 400 out of 8941 . Time = 78\n",
      "working on unit-unit angles for unit 800 out of 8941 . Time = 163\n",
      "working on unit-unit angles for unit 1202 out of 8941 . Time = 237\n",
      "working on unit-unit angles for unit 1602 out of 8941 . Time = 280\n",
      "working on unit-unit angles for unit 2002 out of 8941 . Time = 333\n",
      "working on unit-unit angles for unit 2402 out of 8941 . Time = 387\n",
      "working on unit-unit angles for unit 2802 out of 8941 . Time = 444\n",
      "working on unit-unit angles for unit 3203 out of 8941 . Time = 513\n",
      "working on unit-unit angles for unit 3603 out of 8941 . Time = 562\n",
      "working on unit-unit angles for unit 4004 out of 8941 . Time = 614\n",
      "working on unit-unit angles for unit 4404 out of 8941 . Time = 656\n",
      "working on unit-unit angles for unit 4806 out of 8941 . Time = 695\n",
      "working on unit-unit angles for unit 5206 out of 8941 . Time = 728\n",
      "working on unit-unit angles for unit 5606 out of 8941 . Time = 765\n",
      "working on unit-unit angles for unit 6006 out of 8941 . Time = 800\n",
      "working on unit-unit angles for unit 6406 out of 8941 . Time = 826\n",
      "working on unit-unit angles for unit 6806 out of 8941 . Time = 850\n",
      "working on unit-unit angles for unit 7206 out of 8941 . Time = 872\n",
      "working on unit-unit angles for unit 7606 out of 8941 . Time = 890\n",
      "working on unit-unit angles for unit 8006 out of 8941 . Time = 900\n",
      "working on unit-unit angles for unit 8407 out of 8941 . Time = 905\n",
      "working on unit-unit angles for unit 8807 out of 8941 . Time = 908\n",
      "All done with angles; total elapsed seconds = 908\n"
     ]
    }
   ],
   "source": [
    "#continuing option 2 \n",
    "print(\"similar to above, but for angles\")  #convention is angle[a][b] is from a to b\n",
    "uuAngle = [[0. for t in range(nHDs)] for t in range(nHDs)]\n",
    "\n",
    "pi = 3.141592653\n",
    "twoPi = pi*2.\n",
    "startTime = time.time()\n",
    "for i, t in enumerate(populatedTractList):\n",
    "    if i %400 == 0:\n",
    "        print(\"working on unit-unit angles for unit\",t,\"out of\",nHDs,\". Time =\",int(time.time() - startTime)  )\n",
    "    for tt in populatedTractList:\n",
    "        if tt > t and (HDcountyNo[tt] in closeCountyList[HDcountyNo[t]] or HDcountyNo[t] == HDcountyNo[tt]):  #time-saver; do the triangle matrix\n",
    "            angLE = math.atan2(hdCP[tt].y - hdCP[t].y, xScale * (hdCP[tt].x - hdCP[t].x) )\n",
    "            uuAngle[t][tt], uuAngle[tt][t] = angLE % twoPi, (angLE + pi) % twoPi\n",
    "print(\"All done with angles; total elapsed seconds =\",int(time.time()-startTime) )\n",
    "#plt.hist(uuAngle)\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "4cc54eba-ca37-4680-9699-37332133afb8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "786629.867 15 11799448.0 15.0 11799448.0\n",
      "11799448.0 11799448 1.0\n"
     ]
    }
   ],
   "source": [
    "print(r3(aDP), nDistricts, statePop, statePop/aDP, trueStatePop)\n",
    "HDweight = [0 for t in range(nHDs)]\n",
    "for t in populatedTractList:\n",
    "    HDweight[t] = tractPop[t] / trueStatePop #skipping the cutList tracts\n",
    "print(statePop,np.sum([tractPop[t] for t in populatedTractList]), r5(np.sum(HDweight))) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "dac2348a-060a-40a9-beeb-02ff70ec1aa1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RUN FOR ALL STATES.for extended peninsulas, need to broaden the 'neighborCountyList' to include all co-squished counties' neighbors\n"
     ]
    }
   ],
   "source": [
    "print(\"RUN FOR ALL STATES.for extended peninsulas, need to broaden the 'neighborCountyList' to include all co-squished counties' neighbors\")\n",
    "opt2nbrCtyList = [neighborCountyList[c].copy() for c in range(nCounties)]\n",
    "for i in range(nClips):\n",
    "    cList = toSquishCountiesList[i]\n",
    "    for c in cList:\n",
    "        for cc in cList:\n",
    "            for ccc in neighborCountyList[cc]:\n",
    "                if ccc not in opt2nbrCtyList[c] and ccc != c:\n",
    "                    opt2nbrCtyList[c].append(ccc)\n",
    "#for c in range(nCounties):\n",
    "#    for cc in opt2nbrCtyList[c]:\n",
    "#        plotPoly(countyGeom[cc])\n",
    "#    plotCenter(c,countyGeom[c])\n",
    "#    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "3873aaa2-0c39-4ac0-99c3-92dd7c18c555",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the main code to draw 4-wedge Home Districts for each populated HD centerpoint\n",
      "For each Home District, we will consider a wedge as one-from-full when it is within 1056.588 of targetWedgePop\n",
      "I am working on HD number 0 of 8941 HDs.  Elapsed sec = 0\n",
      "I am working on HD number 400 of 8941 HDs.  Elapsed sec = 70\n",
      "I am working on HD number 800 of 8941 HDs.  Elapsed sec = 138\n",
      "I am working on HD number 1202 of 8941 HDs.  Elapsed sec = 204\n",
      "I am working on HD number 1602 of 8941 HDs.  Elapsed sec = 277\n",
      "I am working on HD number 2002 of 8941 HDs.  Elapsed sec = 352\n",
      "I am working on HD number 2402 of 8941 HDs.  Elapsed sec = 417\n",
      "I am working on HD number 2802 of 8941 HDs.  Elapsed sec = 490\n",
      "I am working on HD number 3203 of 8941 HDs.  Elapsed sec = 581\n",
      "I am working on HD number 3603 of 8941 HDs.  Elapsed sec = 650\n",
      "I am working on HD number 4004 of 8941 HDs.  Elapsed sec = 750\n",
      "I am working on HD number 4404 of 8941 HDs.  Elapsed sec = 831\n",
      "I am working on HD number 4806 of 8941 HDs.  Elapsed sec = 903\n",
      "I am working on HD number 5206 of 8941 HDs.  Elapsed sec = 977\n",
      "I am working on HD number 5606 of 8941 HDs.  Elapsed sec = 1032\n",
      "I am working on HD number 6006 of 8941 HDs.  Elapsed sec = 1092\n",
      "I am working on HD number 6406 of 8941 HDs.  Elapsed sec = 1144\n",
      "I am working on HD number 6806 of 8941 HDs.  Elapsed sec = 1208\n",
      "I am working on HD number 7206 of 8941 HDs.  Elapsed sec = 1287\n",
      "I am working on HD number 7606 of 8941 HDs.  Elapsed sec = 1377\n",
      "I am working on HD number 8006 of 8941 HDs.  Elapsed sec = 1440\n",
      "I am working on HD number 8407 of 8941 HDs.  Elapsed sec = 1505\n",
      "I am working on HD number 8807 of 8941 HDs.  Elapsed sec = 1570\n",
      "1596.999 seconds elapsed. All done computing HD shapes and tractlists.  Here is a histogram of vtd usage.\n",
      "vtd avg and sd usage are 0.99961 0.12442\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are your HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing option 2 .......\n",
    "# BELOW modified Dec23 to use inter-unit distances and angles, (counties still wedgeIntersxn) otherwise similar to HD2\n",
    "# --THIS ESSENTIALLY TAKES THE ORIGINAL TRACT-BASED HD centerpoints, and redraws HD2 districts after convexifying corners and convex_hull\n",
    "print(\"Here is the main code to draw 4-wedge Home Districts for each populated HD centerpoint\") \n",
    "#this is a hybrid of HD2 and the organic code, in that all wedge tracts must be in a chain of neighboring counties\n",
    "#General sequence: draw 4 equi-angle wedges with random starting orientation.  If not all can fill a quarter aDP ...\n",
    "# ... find the closest map boundary point to the tract center point in the shortest wedge.  Orient the 0th wedge to face this point\n",
    "# ... determine the \"maxWedgePop\" for this short wedge and the other three wedges extended past the boundary\n",
    "# ...  if this results in only one short wedge, or opposing short wedges, adjust wedge angles\n",
    "# Regardless of whether we re-oriented or adjusted angles, compute each wedgePop for infinite radius\n",
    "#   ... then adjust other targetWedgePops if some found to be short.\n",
    "#   ... for non-shorted wedges, use bisection method to adjust radius to meet targetWedgePop\n",
    "#   ... once total HDpop within tolerance, add/subtract a tract fraction to fulfill HDpop\n",
    "#  create a list of fully used tracts per HD, save the tract# of the split tract and its fractional use\n",
    "#  Compute tractUse across all HDs at the end from the tractUsageLists.  Defer patching and partisan calcs to another code\n",
    "\n",
    "pi=3.1415926536\n",
    "#MAPhull = MAP.convex_hull #used for exitAngle calc.  Defined in an above block to allow user modification\n",
    "nWedges = 4  #number of wedges per home district polygon  \n",
    "avgWedgeAngle = 2.*pi / nWedges\n",
    "angle, angle2, wedgePoly = [0.]*nWedges, [0.]*nWedges, [dummyPoly]*nWedges  #start and stop angle of each wedge\n",
    "pt1, pt2, pt3 = [Point(0,0)]*nWedges, [Point(0,0)]*nWedges, [Point(0,0)]*nWedges #these four define the polygon wedge for a growing home district\n",
    "tractUse = [0.] * nHDs  #this will store how much we use this tract in ALL HD's vs. expectation\n",
    "HDtractList = [list()]*nHDs\n",
    "splitTractNo = [-999]*nHDs  #the tract that is only partially used to finish each HD\n",
    "splitTractUse = [0.]*nHDs  #and this is what fraction of the split tract is included\n",
    "HDvPop = [0.]*nHDs\n",
    "#HDweight = [tractPop[t] / (statePop - excludedPop) for t in range(nTracts)]  #relative weight of each drawn HD\n",
    "HDPoly1 = [dummyPoly]*nHDs  #final 4-wedge shape, unionized from blockgroups / tracts\n",
    "HDarea = [0.]*nHDs  #geographical area of each home district (after boundary trim)\n",
    "HDradius = [[0.]*nWedges for t in range(nHDs)] #final wedge length for each Home District wedge\n",
    "HDangle = [[0.]*nWedges for t in range(nHDs)] #final starting angle for each HD wedge\n",
    "angle0 = [-999.] * nHDs  #orientation of 0th wedge.  Random except re-oriented if we are near-boundary\n",
    "avgTractPop = statePop/len(populatedTractList)\n",
    "tolerPops = [0.8 * avgTractPop, 0.5 * np.max(tractPop)]  #threshold gap before adding one more unit to a wedge \n",
    "tolerPop = tolerPops[0]\n",
    "print(\"For each Home District, we will consider a wedge as one-from-full when it is within\",r3(tolerPops[0]),\"of targetWedgePop\")\n",
    "tractPrintInterval = 400  #for tracking progress\n",
    "levelL = 0.36 #sqrt(pop) for angle=std  These two control distortion in wedge angles relative to wedgePop shortness\n",
    "maxAngleRatio = 1.9  #for tightening tract weighting near boundaries  #HD2\n",
    "maxAngle = 1.8*pi/2. # limit to avoid wedges too close to half a pie\n",
    "minAdjRatio = 0.5  #min ratio of pop of adjacent wedge (to min wedge) to targetWedgePop to not consider this a corner HD\n",
    "maxUncap = 0.5 #the max ratio of uncaptured pop in a maxWedge vs. target wedge pop that we will not stretch to include (7/23)\n",
    "oppWt = 0.0    #the fraction of gap between normal targetWedgePop and the minWedgePop that we allow the opposite wedge to add to tgtPop = minWedgePop\n",
    "maxWedgePop = [0.] * nWedges  #wedge pop if we explode wedge to maximum radius\n",
    "printDebug = \"no\"\n",
    "codeStartTime = time.time()\n",
    "hdCPpop = [HDweight[t] * statePop for t in range(nHDs)]\n",
    "countyHDlist = [list() for c in range(nCounties)]\n",
    "for t in populatedTractList:\n",
    "    countyHDlist[HDcountyNo[t]].append(t)\n",
    "\n",
    "for kkkj, t in enumerate(populatedTractList):  #range(nTracts) : #loop on each tract. \n",
    "    hC = HDcountyNo[t]     #this tract's home county\n",
    "    HDtractList[t] = [t] #seed the list of tracts in this HD\n",
    "    wedgeList = [list() for w in range(nWedges)]   #list of each wedge's tracts, excluding home tract\n",
    "    barredList = list()  #list of wedge numbers for which we are barred from altering their targetWedgePops\n",
    "    if (kkkj % tractPrintInterval) == 0 : \n",
    "        print(\"I am working on HD number {0} of {1} HDs.  Elapsed sec = {2}\".format(t,nHDs,int(time.time()-codeStartTime) ) )  \n",
    "    nActiveWedges = nWedges #active wedges have not run over boundary\n",
    "    wedgePop = [0.]*nWedges\n",
    "    targetWedgePop = [aDP / nWedges]*nWedges  #at beginning, split districtPop equally among wedges\n",
    "    \n",
    "    angle0[t] = random.uniform(0,2.*pi)  #imparts random orientation to the midangle of our starting wedge\n",
    "    wedgeAngle = [avgWedgeAngle for w in range(nWedges) ] #reset to equi-angle when starting each tract\n",
    "    for nW in range(nWedges-1):\n",
    "        wedgeAngle[nW] += random.uniform(-0.0001,0.0001)  #this wiggle solves a later indexing ambiguity for corner tracts\n",
    "    wedgeAngle[nWedges-1] = 2.*pi - (np.sum(wedgeAngle) - wedgeAngle[nWedges-1] ) #squaring up to 2pi total\n",
    "    startAngle = [angle0[t] for nW in range(nWedges)]\n",
    "    for nW in range(1,nWedges):\n",
    "        startAngle[nW] = startAngle[nW-1] + wedgeAngle[nW-1]\n",
    "    endAngle = [startAngle[nW] + wedgeAngle[nW] for nW in range(nWedges)]\n",
    "    #  TRIAL LOOP TO SEE WHICH WEDGES CAN FILL TO TARGET POP w/equiangle wedges\n",
    "    maxWedgePoly = [ buildWedge(hdCP[t],startAngle[nW],endAngle[nW], maxD, xScale) for nW in range(nWedges) ]    \n",
    "    maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop\n",
    "    willFill = [0] * nWedges #would this wedge meet its target with infinite radius?\n",
    "    for nW in range(nWedges):   #... then add in-county Pop and wedge Pop from contiguous chain of counties\n",
    "        iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])\n",
    "        #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList) \n",
    "        nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "        maxWedgePop[nW] += (iCP + nonCP)\n",
    "        wedgeList[nW] = Li + Ln\n",
    "        if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "            willFill[nW] = 1\n",
    "     \n",
    "    if np.sum(willFill) < nWedges:  #at least one wedge couldn't reach its wedgePop target (went over boundary) ...\n",
    "        minW = maxWedgePop.index(np.min(maxWedgePop)) #.. so we will orient the 0th wedge to face the shortest wedgePop's closest boundary\n",
    "        exitAngle = getExitAngle(hdCP[t],maxWedgePoly[minW], MAPhull, startAngle[minW], endAngle[minW])\n",
    "        angle0[t] = exitAngle - 0.5*(2.*pi / nWedges)  #Now reset all angles based on new starting orientation.  All wedge angles still equal\n",
    "        startAngle = [angle0[t] for nW in range(nWedges)]\n",
    "        for nW in range(1,nWedges):\n",
    "            startAngle[nW] = startAngle[nW-1] + wedgeAngle[nW-1]\n",
    "        endAngle = [startAngle[nW] + wedgeAngle[nW] for nW in range(nWedges)]\n",
    "        maxWedgePoly = [buildWedge(hdCP[t],startAngle[nW],endAngle[nW], maxD, xScale) for nW in range(nWedges) ]\n",
    "        \n",
    "        willFill = [0]*nWedges\n",
    "        #Now re-calc each maxWedgePop if we extend wedge's radius past map with new angle0 orientation (wedge angles still constant)\n",
    "        maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop        \n",
    "        for nW in range(nWedges):   #... then add in-county and nonCounty wedge Pop from contiguous chain of counties\n",
    "            iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])\n",
    "            #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList)\n",
    "            nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                    opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "            maxWedgePop[nW] += (iCP + nonCP)\n",
    "            wedgeList[nW] = Li + Ln\n",
    "            if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "                willFill[nW] = 1       \n",
    "    \n",
    "    if np.sum(willFill) < nWedges:  #check if we need to modify wedge angles after possible re-orientation.  \n",
    "        # If so, re-draw maxWedgePoly's, re-calc maxWedgePops\n",
    "        nUnfilledWedges = nWedges - np.sum(willFill)\n",
    "        isChange, newInclA = getNewAngles(maxWedgePop, targetWedgePop, aDP, levelL, minAdjRatio, maxAngle, maxAngleRatio, nUnfilledWedges )\n",
    "        if isChange: #no longer equi-angle\n",
    "            newStartAngle = [0.5*(startAngle[nW]+endAngle[nW]) - 0.5*newInclA[nW] for nW in range(nWedges) ]\n",
    "            newEndAngle =   [0.5*(startAngle[nW]+endAngle[nW]) + 0.5*newInclA[nW] for nW in range(nWedges) ]\n",
    "            startAngle, endAngle, wedgeAngle = newStartAngle.copy(), newEndAngle.copy(), newInclA.copy()\n",
    "            maxWedgePoly = [ buildWedge(hdCP[t],startAngle[nW],endAngle[nW], \n",
    "                                        maxD/math.cos(0.5*wedgeAngle[nW]), xScale ) for nW in range(nWedges) ]\n",
    "            willFill = [0]*nWedges\n",
    "            #Now re-calc each maxWedgePop if we extend wedge's radius past map with new angle0 orientation and new wedge angles\n",
    "            maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop\n",
    "            for nW in range(nWedges):   #... then add in-county Pop and wedge Pop from contiguous chain of counties\n",
    "                iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])                \n",
    "                #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList)\n",
    "                nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                        opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "                maxWedgePop[nW] += (iCP + nonCP)\n",
    "                wedgeList[nW] = Li + Ln\n",
    "            minW = wedgeAngle.index(np.max(wedgeAngle)) #should be 0th wedge, but playing it safe.  This is the 1st wide-angle wedge ..\n",
    "            oppW = int(int(minW+nWedges/2)%nWedges)   #and its opposite\n",
    "            if maxWedgePop[minW] > maxWedgePop[oppW] and maxWedgePop[oppW] < aDP / nWedges:  #minW and oppW are flipped after inclA adjmt\n",
    "                oppW = minW\n",
    "                minW = int(int(minW+nWedges/2)%nWedges)\n",
    "            if maxWedgePop[minW] < targetWedgePop[oppW]:  #we need to constrain oppW in this HD2 implementation; redistribute tgt to adjacents\n",
    "                maxNonOppW = np.sum(maxWedgePop) - maxWedgePop[oppW] #...but only if other wedges can pick up slack; need to check\n",
    "                minOppWedgePop = aDP - maxNonOppW  #cannot set oppW target below this or we won't reach aDP across all wedges\n",
    "                barredList = [oppW]\n",
    "                targetWedgePop[oppW] = max(minOppWedgePop, maxWedgePop[minW] + oppWt * (targetWedgePop[oppW] - maxWedgePop[minW]) )\n",
    "                tWPgap = aDP / float(nWedges) - targetWedgePop[oppW] \n",
    "                for nW in range(nWedges):\n",
    "                    if nW != minW and nW != oppW:\n",
    "                        targetWedgePop[nW] += tWPgap/float(nWedges - 2.)  #if oppW target is limited, allot to adjacent wedges\n",
    "            for nW in range(nWedges):\n",
    "                if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "                    willFill[nW] = 1  \n",
    "    \n",
    "    if abs(np.sum(targetWedgePop) / aDP - 1.) > 0.001:\n",
    "        raise Exception(\"FAIL! Our target wedgepops\",targetWedgePop, np.sum(targetWedgePop),\"no longer add up to\",aDP)\n",
    "    \n",
    "    if np.sum(willFill) == nWedges:  #all wedges will fill.  Will any leave a small near-boundary remnant?  If so, pick up smallest remnant\n",
    "        remnantWedgePopFrac = [ ( maxWedgePop[w] - targetWedgePop[w] )/targetWedgePop[w] for w in range(nWedges) ]\n",
    "        if np.min(remnantWedgePopFrac) < maxUncap :  #lessen tWP's of *adjacent* wedges, then increase this wedge's target --> max\n",
    "            minW = remnantWedgePopFrac.index(np.min(remnantWedgePopFrac))\n",
    "            oppW = int((minW+nWedges/2)%nWedges)\n",
    "            #print(\"filling to boundary for tract,wedge, tWP, mWP =\",t,minW, r3(targetWedgePop[minW]), maxWedgePop[minW])\n",
    "            for nW in range(nWedges):\n",
    "                if nW != minW and nW != oppW:\n",
    "                    targetWedgePop[nW] -= (remnantWedgePopFrac[minW] * targetWedgePop[minW] ) / (nWedges - 2.)\n",
    "            targetWedgePop[minW] = maxWedgePop[minW]\n",
    "            #       OK, READY TO SOLVE FOR NON-FILLED WEDGE SIZES once we adjust targets for unfilled wedges\n",
    "    #print(t,\" prior to rebalanceTWP call, mWPs, tWPs are\",maxWedgePop, targetWedgePop)\n",
    "    targetWedgePop, willFill = rebalanceTWPs(maxWedgePop, targetWedgePop, barredList)\n",
    "    #if np.max(targetWedgePop) - np.min(targetWedgePop) > 0.02 * aDP: #debug\n",
    "    #    print(\"for tract\",t,\",  After rebalancing but before tweaks for blocky pop adds: willFill, targetWedgePops and maxWedgePops are ...\")\n",
    "    #    for w in range(nWedges):\n",
    "    #        print(w, willFill[w],r3(targetWedgePop[w]),int(maxWedgePop[w]) )\n",
    "    for w in range(nWedges):  #WHEW!  WE CAN FINALLY ASSIGN ALL WEDGES' POPS AND TRACTLISTS\n",
    "        loop = 0\n",
    "        if willFill[w] == 0:  #wedge is maxed out\n",
    "            wedgePop[w] = maxWedgePop[w]\n",
    "            #wedgeList[w] = ...  #we already captured this list = maxWedge list\n",
    "            HDradius[t][w] = maxD/math.cos(0.5*wedgeAngle[w])\n",
    "        else:  #need to solve for wedge radius to meet targetPop.  Use bisection as scipy minimize no faster\n",
    "            HDcpWP = hdCPpop[t] * wedgeAngle[w]/(2.*pi)\n",
    "            nonHDcpTWP = targetWedgePop[w] - HDcpWP\n",
    "            #wedgePop[w], wedgeList[w], HDradius[t][w] = solveWedgeB(nontractTWP,t,hC,maxWedgePoly[w],tolerPop,tractCP, tractPop,\n",
    "            #                                                        countyNo,countyTractList,countyGeom, neighborCountyList,uuDist[t])\n",
    "            wedgePop[w], wedgeList[w], HDradius[t][w] = solveWedgeC(nonHDcpTWP,t,hC, maxWedgePoly[w],startAngle[w], endAngle[w], tolerPop,\n",
    "                                                                    hdCP, hdCPpop,HDcountyNo, countyHDlist,countyGeom,\n",
    "                                                                    opt2nbrCtyList,uuDist[t],uuAngle[t])\n",
    "            popGap = nonHDcpTWP - wedgePop[w]  #gap between target and solved wedge pop; can be negative\n",
    "            notYetAdjusted, nextW = True, w+1  #looking to adjust a later wedge's target pop to minimize drift in total HD pop\n",
    "            while notYetAdjusted and nextW < nWedges:\n",
    "                if willFill[nextW] == 1 and maxWedgePop[nextW] > targetWedgePop[nextW] + popGap :  #can accommodate\n",
    "                    targetWedgePop[nextW] += popGap\n",
    "                    notYetAdjusted = False\n",
    "                nextW +=1          \n",
    "\n",
    "        HDangle[t][w] = startAngle[w]\n",
    "    #print(t,\"tract. After TWP adjustment, targetWedgePops are\",targetWedgePop)\n",
    "    HDtractList[t] = [t]\n",
    "    totPop = hdCPpop[t]\n",
    "    for nW in range(nWedges):\n",
    "        for tt in wedgeList[nW]:\n",
    "            HDtractList[t].append(tt)  #building the list of tracts in the Home District  (we'll keep up with below changes)\n",
    "            totPop += hdCPpop[tt]\n",
    "    offsetPop = totPop - aDP  #we have solved for all wedge radii to get each within one tractPop of target ... \n",
    "    HDvPop[t] = totPop\n",
    "    #if offsetPop > 0:   #... now include a splitPoly to nail the avg District Pop\n",
    "    #    isOver = True  #we slightly overshot.  ID the farthest-away tract for split-jettison\n",
    "    #    splitTractNo[t], splitTractUse[t] = getPartialTract(t, HDtractList[t], offsetPop, uuDist[t], hdCPpop, neighborList)\n",
    "    #    HDvPop[t] = totPop - (1. - splitTractUse[t]) * tractPop[splitTractNo[t]]\n",
    "    #if offsetPop < 0:\n",
    "    #    isOver = False  #we have undershot.  Pick up the nearest contiguous tract that can be split to fill the gap\n",
    "    #    splitTractNo[t], splitTractUse[t] = getPartialTract(t, HDtractList[t], offsetPop, uuDist[t], tractPop, neighborList)\n",
    "    #    HDtractList[t].append(splitTractNo[t])\n",
    "    #    HDvPop[t] = totPop + splitTractUse[t]*tractPop[splitTractNo[t]]       \n",
    "    #if abs(1. - HDvPop[t]/aDP) > 0.005 :  #something went wrong with pop assignation for this HD\n",
    "    #    print(\"WARNING! Total Home District pop was\",HDvPop[t],\"vs target\",aDP,\"for tract\",t)   ##### hdCP topology not yet known; skip partial\n",
    "        \n",
    "    HDPoly1[t] = dummyPoly  #tractGeom[t] #skip constructing the HD poly shape.  Do compute area of the Home District, including final partial\n",
    "    HDarea[t] = 0.\n",
    "    for tt in HDtractList[t]:\n",
    "        if tt == splitTractNo[t]:\n",
    "            tractUse[tt] += nDistricts * HDweight[t] * splitTractUse[t] \n",
    "            #HDarea[t]   += tractArea[tt] * splitTractUse[t]  #these are original (nonsquished) areas\n",
    "            \n",
    "        else:\n",
    "            tractUse[tt] += nDistricts * HDweight[t]\n",
    "            #HDarea[t]    += tractArea[tt]\n",
    "            #HDPoly1[t] = HDPoly1[t].union(tractGeom[tt])\n",
    "    HDPoly1[t] = buildPoly(hdCP[t],HDradius[t], HDangle[t] )\n",
    "    #HDarea[t] = HDPoly1[t].area + splitTractUse[t] * tractArea[splitTractNo[t]]  \n",
    "    #if splitTractUse[t] > 0.5:\n",
    "    #    HDPoly1[t] = HDPoly1[t].union(tractGeom[splitTractNo[t]])\n",
    "                          \n",
    "    #ALL DONE ESTABLISHING THE FINAL HDTRACTLIST.  FINALIZE STATS\n",
    "totalTime = time.time() - codeStartTime\n",
    "print(r3(totalTime),\"seconds elapsed. All done computing HD shapes and tractlists.  Here is a histogram of vtd usage.\")\n",
    "n_bins=50\n",
    "popTractUse, plotWts = [tractUse[t] for t in populatedTractList], [HDweight[t] for t in populatedTractList]\n",
    "\n",
    "origHDuseAvg, origHDuseSD = getWeightedAvgAndSD(tractUse,HDweight)\n",
    "print(\"vtd avg and sd usage are\",r5(origHDuseAvg), r5(origHDuseSD) )\n",
    "\n",
    "fig, ax = plt.subplots(tight_layout=True)\n",
    "ax.hist(popTractUse, bins=n_bins, weights=plotWts)\n",
    "plt.show()\n",
    "HDvPop = [np.sum([hdCPpop[tt] for tt in HDtractList[t]]) for t in range(nHDs)]\n",
    "plt.scatter([hdCPpop[t] for t in populatedTractList],[HDvPop[t] for t in populatedTractList] )\n",
    "print(\"here are your HD pops\")\n",
    "plt.show()\n",
    "origHDHDtractList = [HDtractList[t].copy() for t in range(nHDs)] #save for posterity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "b7f36a0f-a3c6-4b07-aecd-9e010b02918f",
   "metadata": {},
   "outputs": [],
   "source": [
    "DATE = \"06May\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "37c238bb-b340-431b-ad11-95e4409d9699",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now we will write the polygon-based results to a file\n"
     ]
    }
   ],
   "source": [
    "#last block of option 2 (i.e. generating polygonal HDs from scratch)\n",
    "print(\"Now we will write the polygon-based results to a file\")\n",
    "tractNo = [t for t in range(nHDs) ]\n",
    "HDangle0 = [HDangle[t][0] for t in range(nHDs) ]\n",
    "HDangle1 = [HDangle[t][1] for t in range(nHDs) ]\n",
    "HDangle2 = [HDangle[t][2] for t in range(nHDs) ]\n",
    "HDangle3 = [HDangle[t][3] for t in range(nHDs) ]\n",
    "HDradius0 = [HDradius[t][0] for t in range(nHDs)]\n",
    "HDradius1 = [HDradius[t][1] for t in range(nHDs)]\n",
    "HDradius2 = [HDradius[t][2] for t in range(nHDs)]\n",
    "HDradius3 = [HDradius[t][3] for t in range(nHDs)]\n",
    "hdCPx, hdCPy =   [hdCP[t].x for t in range(nHDs)], [hdCP[t].y for t in range(nHDs)]\n",
    "\n",
    "paramList = [\"STATE\",\"statePop\",\"nDistricts\",\"nHDs\",\"nWedges\",\"popn-toler\",\"levelL\", \"maxAngleRatio\",\n",
    "             \"maxAngle\",\"minAdjRatio\",\"maxUncap\", \"oppWt\", \"calc sec\",\"xScale\",\"outputs...\"]\n",
    "paramValues = [STATE,statePop, nDistricts, nHDs, nWedges, tolerPop, levelL, maxAngleRatio, maxAngle, minAdjRatio, maxUncap,\n",
    "               oppWt, totalTime, xScale, -777]\n",
    "for i in range(nHDs-len(paramList)):\n",
    "    paramList.append(\".\")\n",
    "    paramValues.append(-99)  #so all columns have same number of entries, even the parameter list\n",
    "HDdf = pd.DataFrame( {\"paramList\": paramList,\"paramValues\":paramValues,\"countyNo\":HDcountyNo,\n",
    "                    \"tractNo\":tractNo,\"centroid x\":hdCPx,\"centroid y\":hdCPy,\"tractPop\":hdCPpop,\n",
    "                    \"HDweight\":HDweight,\"HD-pop\":HDvPop,\"HDarea\":HDarea, \"countyNo\":countyNo,\n",
    "                    \"startAngle\":angle0,\"HDangle0\":HDangle0,\"HDangle1\":HDangle1,\"HDangle2\":HDangle2,\"HDangle3\":HDangle3,\n",
    "                    \"HDradius0\":HDradius0,\"HDradius1\":HDradius1,\"HDradius2\":HDradius2, \"HDradius3\":HDradius3,\"tractUse\":tractUse,\n",
    "                    \"splitTractNo\":splitTractNo,\"splitTractUse\":splitTractUse,\"HDtractList\":HDtractList} ) \n",
    "\n",
    "#outname = STATE+str(int(nTracts))+\"HD2Bnopatch\"+str(int(nDistricts))+\"nW4.csv\"  #solveWedgeB\n",
    "outname = STATE+str(int(nHDs))+\"convexHD2_\"+str(int(nDistricts))+\"nW4_\"+DATE+\".csv\"  #solveWedgeC\n",
    "#outname = STATE+str(int(nTracts))+\"HD2Buutpatch\"+str(int(nDistricts))+\"nW4.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "HDdf.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "075013a3-f3ee-4a44-ac4a-27a7492e027a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./2024state_HD_output/OH8941convexHD2_15nW4_06May.csv\n"
     ]
    }
   ],
   "source": [
    "print(\"./\"+outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "6e7e8ccd-8e11-4d6d-970d-b059401e0a3b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the original HD polygon shape assignment csv, e.g. ./2024state_HD_output/FL7211convexHD2_26nW4_03Mar.csv or ./state_HD_output/AZ9HD1tol0.005nW425Mar.csv ./2024state_HD_output/OH8941convexHD2_15nW4_06May.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I have read back in the original HD shapes\n",
      "Ready to capture unit centroids based on these HD poly shapes; see next block\n"
     ]
    }
   ],
   "source": [
    "#OPTION 2 --> 1 - we already have an ensemble of HDpoly's and their weights (from running option 2 above)\n",
    "#read them in\n",
    "#determine each cluster's required area fraction capture to get 1.00 cluster use across the HD set\n",
    "#then determine total pop (including cluster in/out) for each HD, and total unit use\n",
    "#then move into triage\n",
    "infilename = input(\"enter the original HD polygon shape assignment csv, \"+ \n",
    "                   \"e.g. ./2024state_HD_output/FL7211convexHD2_26nW4_03Mar.csv or ./state_HD_output/AZ9HD1tol0.005nW425Mar.csv\")\n",
    "shapeDF = pd.read_csv(infilename)\n",
    "HDvPop = shapeDF[\"HD-pop\"].to_list()\n",
    "HDweight = shapeDF['HDweight'].to_list() #shapeDF['HDwt'].to_list() or #shapeDF['HDweight'].to_list()\n",
    "HDarea = shapeDF['HDarea'].to_list()\n",
    "#tractPop = shapeDF['tractPop'].to_list()   #we will use vtd-mapped pops instead\n",
    "nHDs = len(shapeDF)\n",
    "hdCPx = shapeDF['centroid x'].to_list()   #note: these may be translated from outcroppings into a convex representation of the map\n",
    "hdCPy = shapeDF['centroid y'].to_list()\n",
    "hdCP = [Point(hdCPx[t], hdCPy[t]) for t in range(nHDs) ]\n",
    "HDradius0 = shapeDF['HDradius0'].to_list()\n",
    "HDradius1 = shapeDF['HDradius1'].to_list()\n",
    "HDradius2 = shapeDF['HDradius2'].to_list()\n",
    "HDradius3 = shapeDF['HDradius3'].to_list()\n",
    "HDangle0 = shapeDF['HDangle0'].to_list()\n",
    "HDangle1 = shapeDF['HDangle1'].to_list()\n",
    "HDangle2 = shapeDF['HDangle2'].to_list()\n",
    "HDangle3 = shapeDF['HDangle3'].to_list()\n",
    "HDradius, HDangle = list(), list()\n",
    "for t in range(nHDs):\n",
    "    HDradius.append( [HDradius0[t],HDradius1[t],HDradius2[t],HDradius3[t] ] )\n",
    "    HDangle.append(  [HDangle0[t], HDangle1[t], HDangle2[t], HDangle3[t]  ] )\n",
    "print(\"I have read back in the original HD shapes\")\n",
    "popHDlist = list()\n",
    "HDpoly = [dummyPoly for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    if HDweight[t] > 0.000001:\n",
    "        popHDlist.append(t)\n",
    "        HDpoly[t] = buildArcPoly(hdCP[t],HDradius[t], HDangle[t], xScale)\n",
    "if \"countyNo\" in shapeDF.columns.values:  #\"pigs\" == \"can fly\":\n",
    "    HDcountyNo = shapeDF['countyNo'].to_list()\n",
    "else:\n",
    "    print(\"County numbers not in input file. Now I will assign each HD center to a county based on the county geoms\")\n",
    "    HDcountyNo = [-999]*nHDs\n",
    "    for t in popHDlist:\n",
    "        for c, geom in enumerate(countyGeom):\n",
    "            if geom.contains(hdCP[t]):\n",
    "                HDcountyNo[t] = c\n",
    "                break\n",
    "    unassignedList = list()\n",
    "    for t in popHDlist:\n",
    "        if HDcountyNo[t] == -999:\n",
    "            unassignedList.append(t)\n",
    "    if len(unassignedList) > 0:\n",
    "        print(\"I found\",len(unassignedList),\"populd HDs whose centers fall outside vtd-based county lines.  Assign to closest county\")\n",
    "        for t in unassignedList:\n",
    "            minDist = maxD\n",
    "            for c in range(nCounties):\n",
    "                dist = countyGeom[c].distance(hdCP[t])\n",
    "                if dist < minDist:\n",
    "                    minDist = dist\n",
    "                    HDcountyNo[t] = c\n",
    "    if len(unassignedList) > 0:\n",
    "        if len(unassignedList) > 20:\n",
    "            print(\"  (too many to plot individually)\")\n",
    "        else:\n",
    "            print(\"FYI, here are those manually assigned HDcenters to their counties\")\n",
    "            for t in unassignedList:\n",
    "                print(t,HDweight[t],\" is the HD row and its weight in the ensemble\")\n",
    "                plotPoly(hdCP[t].buffer(0.1))\n",
    "                plotCenter(int(HDvPop[t]),hdCP[t],6)\n",
    "                plotPoly(countyGeom[HDcountyNo[t]])\n",
    "                plotPoly(MAP,0.2)\n",
    "                plt.show()\n",
    "print(\"Ready to capture unit centroids based on these HD poly shapes; see next block\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "3f0f8434-5f7a-41d1-bd86-07ec230b4aef",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now, let me renormalize the HDweights if there were cut districts\n",
      "our HDweight sum was 0.9999999999997317 but is now 1.0\n"
     ]
    }
   ],
   "source": [
    "print(\"now, let me renormalize the HDweights if there were cut districts\")\n",
    "sumWt = np.sum(HDweight)\n",
    "HDweight = [HDweight[t]/sumWt for t in range(nHDs) ]\n",
    "\n",
    "print(\"our HDweight sum was\",sumWt,\"but is now\",np.sum(HDweight))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "af22eba0-8e05-43e7-b96b-6aedab016957",
   "metadata": {},
   "outputs": [],
   "source": [
    "#see early states for continuing w/option 1.  NC and later use option 3 ....\n",
    "#if this is a cold restart, would need to read in unit topology before below block"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "8d5f678f-c2df-4ee7-bafe-fd75ba2cb42e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lead = 'option3' - create HDunitLists based on each HD's tractList, with in-out for multiVTD units\n"
     ]
    }
   ],
   "source": [
    "#OPTION 3 \n",
    "print(\"lead = 'option3' - create HDunitLists based on each HD's tractList, with in-out for multiVTD units\")\n",
    "HDtractListString = shapeDF[\"HDtractList\"]\n",
    "HDtractList = [ast.literal_eval(HDtractListString[t]) for t in range(nHDs)]\n",
    "nCCBs = len(CCBlist)\n",
    "CCBpopFrac = [[0. for j in range(nCCBs) ]  for t in range(nHDs)]\n",
    "\n",
    "unitParentVTDno = [-999 for u in range(nUnits)]\n",
    "for u in range(nUnits):    \n",
    "    if allUnits[u] %1 == 0:\n",
    "        v = allUnits[u]\n",
    "        unitParentVTDno[u] = parentVTDno[v]\n",
    "              "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "ec034144-b3dc-4b72-9350-6d85cabcb8a2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option3, now assigning each HD's units (excluding CCB's) based on the captured whole vtd's\n",
      "working on vtd --> unit conversion for HD 1 last HD had pop 764727.616\n",
      "working on vtd --> unit conversion for HD 1001 last HD had pop 776479.77\n",
      "working on vtd --> unit conversion for HD 2001 last HD had pop 732812.694\n",
      "working on vtd --> unit conversion for HD 3001 last HD had pop 776326.898\n",
      "working on vtd --> unit conversion for HD 4001 last HD had pop 785901.445\n",
      "working on vtd --> unit conversion for HD 5001 last HD had pop 786616.0\n",
      "working on vtd --> unit conversion for HD 6001 last HD had pop 785659.142\n",
      "working on vtd --> unit conversion for HD 7001 last HD had pop 787251.214\n",
      "working on vtd --> unit conversion for HD 8001 last HD had pop 786381.151\n"
     ]
    }
   ],
   "source": [
    "print(\"Continuing option3, now assigning each HD's units (excluding CCB's) based on the captured whole vtd's\" )\n",
    "HDunitList = [ list() for t in range(nHDs) ]\n",
    "for t in range(nHDs):\n",
    "    if t %1000 == 1:\n",
    "        print(\"working on vtd --> unit conversion for HD\",t,\"last HD had pop\",r3( np.sum([unitPop[u] for u in HDunitList[t-1]]) ) )\n",
    "    capturedCountyPop = [0. for c in range(nCounties)]\n",
    "    capturedCCBpop = [0. for i in range(nCCBs)]\n",
    "    for v in HDtractList[t]:\n",
    "        c = HDcountyNo[v]\n",
    "        if c in range(nCounties):  #we assigned countyno = -999 to unpopulated tracts\n",
    "            if c in unitCounties:\n",
    "                capturedCountyPop[c] += tractPop[v]\n",
    "            elif c in allFusedCounties:\n",
    "                for i, L in enumerate(CCBlist):\n",
    "                    if c in L:\n",
    "                        capturedCCBpop[i] += tractPop[v]\n",
    "            else:  #this vtd not part of a unit or fused county.  Could be split into fragments\n",
    "                for u in countyUnitList[c]:\n",
    "                    if unitParentVTDno[u] == v :  #we assign all units = vtd fragments from this HDTL-captured vtd\n",
    "                        HDunitList[t].append(u)\n",
    "    for c in unitCounties:\n",
    "        if capturedCountyPop[c] > 0.5 * countyPop[c]:\n",
    "            HDunitList[t].append(allUnits.index(c+0.5))\n",
    "    for i in range(nCCBs):  #don't yet assign in/out CCBs.  We'll do so in below block\n",
    "        CCBpopFrac[t][i] = capturedCCBpop[i] / CCBpop[i]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "1494814c-7b90-425c-b8b1-3a2006bdeb2d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option 3.  Determine each CCB's use if we add it to all adjoining HDs\n",
      "CCBno 0 with pop 97574.0 would be used 1.596 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n",
      "CCBno 1 with pop 58240.0 would be used 1.195 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n",
      "CCBno 2 with pop 37102.0 would be used 1.318 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if we are not allowed to use multiple CCB's in a single HD 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CCBno 0 with pop 97574.0 would be used 1.5960365264544907 if we added it to all adjoining districts with no 2-CCB districts\n",
      "CCBno 1 with pop 58240.0 would be used 1.1619785095032051 if we added it to all adjoining districts with no 2-CCB districts\n",
      "CCBno 2 with pop 37102.0 would be used 1.3177417282571227 if we added it to all adjoining districts with no 2-CCB districts\n"
     ]
    }
   ],
   "source": [
    "print(\"Continuing option 3.  Determine each CCB's use if we add it to all adjoining HDs\")\n",
    "CCBwouldUse = [0. for i in range(nCCBs)]\n",
    "CCBaddCandidates = [list() for i in range(nCCBs)]\n",
    "for j in range(nCCBs):\n",
    "    jNo = allUnits.index(j+0.25)\n",
    "    ccbNbrSet = set(unitNbrs[jNo])\n",
    "    withCCBpopRat = list()\n",
    "    for t in range(nHDs):\n",
    "        if len(ccbNbrSet.intersection(set(HDunitList[t]))) > 0:\n",
    "            CCBwouldUse[j] += HDweight[t] * nDistricts\n",
    "            CCBaddCandidates[j].append(t)\n",
    "            withCCBpopRat.append((np.sum([unitPop[u] for u in HDunitList[t]]) + CCBpop[j]) / aDP )\n",
    "    print(\"CCBno\",j,\"with pop\",CCBpop[j],\"would be used\",r3(CCBwouldUse[j]),\"if we added it to all adjoining districts\")\n",
    "    print(\"Here is the histogram of relative district pop with these added\")\n",
    "    plt.hist(withCCBpopRat,histtype=\"step\",label=\"CCB \"+str(j))\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "avoidMultiCCBuse = int(input(\"enter 1 if we are not allowed to use multiple CCB's in a single HD\"))  #option by state\n",
    "if avoidMultiCCBuse == 1:\n",
    "    for j in range(nCCBs):  #this block -- preventing HDs from picking up multiple CCB's; instead, pick up the closest one  \n",
    "        jNo = allUnits.index(j+0.25)\n",
    "        for jj in range(j+1, nCCBs):\n",
    "            jjNo = allUnits.index(j+0.25)\n",
    "            for t in CCBaddCandidates[j].copy():\n",
    "                if t in CCBaddCandidates[j]:\n",
    "                    if t in CCBaddCandidates[jj].copy():\n",
    "                        dist_j, dist_jj = hdCP[t].distance(unitCP[jNo]), hdCP[t].distance(unitCP[jjNo])\n",
    "                        if dist_j > dist_jj:\n",
    "                            CCBaddCandidates[j].remove(t)  #for MN, don't allow any districts with two CCB's\n",
    "                            CCBwouldUse[j] -= HDweight[t] * nDistricts\n",
    "                        else:\n",
    "                            CCBaddCandidates[jj].remove(t)\n",
    "                            CCBwouldUse[jj] -= HDweight[t] * nDistricts\n",
    "for j in range(nCCBs):    \n",
    "    print(\"CCBno\",j,\"with pop\",CCBpop[j],\"would be used\",CCBwouldUse[j],\"if we added it to all adjoining districts with no 2-CCB districts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "0d38eb0e-b516-4fd4-bb9e-6ca0eecfa772",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option 3. Now assign CCB units.  For each, work from most to least underpopped\n",
      "currently, we force each CCB's unit use to be 1.0\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated value, e.g. 1.02 to hedge against later losses w/contiguity patching 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 0 is 1.02137 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 1 is 1.02161 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 2 is 1.02134 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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FBQX17reiokJlZWUBNwAAgMZq0gDy+/2SpPj4+ID74+PjnW1+v19xcXEB20NDQxUbG+uM+ans7GxFR0c7t8TExKacNgAAsEyruAosKytLpaWlzu3QoUPBnhIAAGjFmjSAfD6fJKmoqCjg/qKiImebz+fT0aNHA7ZXV1eruLjYGfNTHo9HXq834AYAANBYTRpASUlJ8vl8ysvLc+4rKytTQUGBUlJSJEkpKSkqKSlRYWGhM2bDhg2qra1VcnJyU04HAACgXg2+Cqy8vFz79u1zvj9w4IC2bdum2NhYdevWTffff7/+7//+TxdddJGSkpI0a9YsJSQk6Prrr5ck9enTR6NHj9a0adO0ePFiVVVVafr06Zo4cSJXgAEAgHOiwQH00Ucf6Te/+Y3zfWZmpiRp8uTJWr58uR566CEdO3ZMt99+u0pKSjRy5EitX79eERERzq956aWXNH36dI0aNUput1sTJkzQs88+2wQPBwAA4Je5jDEm2JNoqLKyMkVHR6u0tJTXA+Gc6j5zXbCnYIUv5o4N9hQANIOW9O93q7gKDAAAoCkRQAAAwDoEEAAAsA4BBAAArEMAAQAA6xBAAADAOgQQAACwDgEEAACsQwABAADrEEAAAMA6BBAAALAOAQQAAKxDAAEAAOsQQAAAwDoEEAAAsA4BBAAArEMAAQAA6xBAAADAOgQQAACwDgEEAACsQwABAADrEEAAAMA6BBAAALAOAQQAAKxDAAEAAOsQQAAAwDoEEAAAsA4BBAAArEMAAQAA6xBAAADAOgQQAACwDgEEAACsQwABAADrEEAAAMA6ocGeQEvUfea6YE+hwb6YOzbYUwAAoNXgDBAAALAOAQQAAKxDAAEAAOsQQAAAwDoEEAAAsA4BBAAArEMAAQAA6xBAAADAOgQQAACwDgEEAACsQwABAADrEEAAAMA6BBAAALAOAQQAAKxDAAEAAOsQQAAAwDoEEAAAsA4BBAAArEMAAQAA6xBAAADAOgQQAACwDgEEAACsQwABAADrEEAAAMA6BBAAALAOAQQAAKxDAAEAAOsQQAAAwDoEEAAAsA4BBAAArNPkAfToo4/K5XIF3Hr37u1sP3nypDIyMtSpUye1b99eEyZMUFFRUVNPAwAA4LSa5QxQ3759deTIEee2efNmZ9sDDzygN954Q6tXr9b777+vw4cPa/z48c0xDQAAgHqFNstOQ0Pl8/nq3F9aWqolS5ZoxYoVuvLKKyVJy5YtU58+fbRlyxYNHz68OaYDAAAQoFnOAO3du1cJCQnq0aOH0tPTdfDgQUlSYWGhqqqqlJqa6ozt3bu3unXrpvz8/NPur6KiQmVlZQE3AACAxmryAEpOTtby5cu1fv16Pffcczpw4IAuu+wyfffdd/L7/QoPD1dMTEzAr4mPj5ff7z/tPrOzsxUdHe3cEhMTm3raAADAIk3+FNiYMWOcr/v376/k5GRdcMEFWrVqlSIjIxu1z6ysLGVmZjrfl5WVEUEAAKDRmv0y+JiYGF188cXat2+ffD6fKisrVVJSEjCmqKio3tcMneLxeOT1egNuAAAAjdXsAVReXq79+/era9euGjJkiMLCwpSXl+ds37Nnjw4ePKiUlJTmngoAAICkZngK7Le//a2uvfZaXXDBBTp8+LAeeeQRhYSEaNKkSYqOjtbUqVOVmZmp2NhYeb1e3XPPPUpJSeEKMAAAcM40eQB99dVXmjRpkr755ht16dJFI0eO1JYtW9SlSxdJ0oIFC+R2uzVhwgRVVFQoLS1NixYtauppAAAAnFaTB9DKlSt/dntERIRycnKUk5PT1D8aAADgjPBZYAAAwDoEEAAAsA4BBAAArEMAAQAA6xBAAADAOgQQAACwDgEEAACsQwABAADrEEAAAMA6BBAAALAOAQQAAKxDAAEAAOsQQAAAwDoEEAAAsA4BBAAArEMAAQAA6xBAAADAOgQQAACwDgEEAACsQwABAADrEEAAAMA6BBAAALAOAQQAAKwTGuwJAEBb0H3mumBPocG+mDs22FMAgoYzQAAAwDoEEAAAsA4BBAAArMNrgADAUrxuCTbjDBAAALAOZ4AAAGhGrfFMm9T2z7ZxBggAAFiHM0AAWpzW+j9mAK0HZ4AAAIB1CCAAAGAdAggAAFiHAAIAANYhgAAAgHW4CqyNaI1XzbT195gAALRcnAECAADWIYAAAIB1CCAAAGAdAggAAFiHAAIAANYhgAAAgHW4DB4A0Gq0xrf8QMvEGSAAAGAdAggAAFiHAAIAANYhgAAAgHUIIAAAYB0CCAAAWIcAAgAA1iGAAACAdQggAABgHQIIAABYhwACAADWIYAAAIB1CCAAAGAdAggAAFgnNNgTgL26z1wX7CkAACzFGSAAAGAdAggAAFiHAAIAANYhgAAAgHWCGkA5OTnq3r27IiIilJycrK1btwZzOgAAwBJBC6BXXnlFmZmZeuSRR/Txxx9rwIABSktL09GjR4M1JQAAYImgBdDTTz+tadOmacqUKbrkkku0ePFiRUVFaenSpcGaEgAAsERQ3geosrJShYWFysrKcu5zu91KTU1Vfn5+nfEVFRWqqKhwvi8tLZUklZWVNcv8aiuON8t+AQBoLZrj39hT+zTGNPm+GyooAfT111+rpqZG8fHxAffHx8frs88+qzM+Oztbjz32WJ37ExMTm22OAADYLPqZ5tv3d999p+jo6Ob7AWegVbwTdFZWljIzM53va2trVVxcrE6dOsnlcjXJzygrK1NiYqIOHTokr9fbJPu0BWvXeKxd47F2jcfaNR5r13in1m7Xrl1KSEgI9nSCE0CdO3dWSEiIioqKAu4vKiqSz+erM97j8cjj8QTcFxMT0yxz83q9HNSNxNo1HmvXeKxd47F2jcfaNd55550ntzv478ITlBmEh4dryJAhysvLc+6rra1VXl6eUlJSgjElAABgkaA9BZaZmanJkydr6NChGjZsmJ555hkdO3ZMU6ZMCdaUAACAJYIWQDfddJP+97//afbs2fL7/Ro4cKDWr19f54XR54rH49EjjzxS56k2/DLWrvFYu8Zj7RqPtWs81q7xWtrauUxLuBYNAADgHAr+q5AAAADOMQIIAABYhwACAADWIYAAAIB1Wk0Ade/eXS6Xq84tIyNDX3zxRb3bXC6XVq9e7eyjvu0rV64M+DnvvfeeBg8eLI/Ho549e2r58uV15pKTk6Pu3bsrIiJCycnJ2rp1a8D2kydPKiMjQ506dVL79u01YcKEOm/6eC793NpJkt/v18033yyfz6d27dpp8ODB+sc//hGwj+LiYqWnp8vr9SomJkZTp05VeXl5wJjt27frsssuU0REhBITEzVv3rw6c1m9erV69+6tiIgI9evXT//6178CthtjNHv2bHXt2lWRkZFKTU3V3r17m3hFzlxTrF19+5g7d27AGBvXbv/+/brhhhvUpUsXeb1e3XjjjXX+nHDcNX7tbDzuampqNGvWLCUlJSkyMlIXXnih5syZE/C5U2cyXxuPu6Zau1Z13JlW4ujRo+bIkSPOLTc310gy7777rqmurg7YduTIEfPYY4+Z9u3bm++++87ZhySzbNmygHEnTpxwtv/nP/8xUVFRJjMz0+zatcssXLjQhISEmPXr1ztjVq5cacLDw83SpUvNzp07zbRp00xMTIwpKipyxtx5550mMTHR5OXlmY8++sgMHz7cjBgx4twsVD1+bu2MMeaqq64yl156qSkoKDD79+83c+bMMW6323z88cfOPkaPHm0GDBhgtmzZYjZt2mR69uxpJk2a5GwvLS018fHxJj093ezYscO8/PLLJjIy0vz5z392xvz73/82ISEhZt68eWbXrl3m4YcfNmFhYebTTz91xsydO9dER0ebNWvWmE8++cSMGzfOJCUlBfw+nUtNsXYXXHCBefzxxwP2U15e7my3ce3Ky8tNjx49zA033GC2b99utm/fbq677jpz6aWXmpqaGmcfHHeNXzsbj7snnnjCdOrUyaxdu9YcOHDArF692rRv39788Y9/bNB8bTzummrtWtNx12oC6Kfuu+8+c+GFF5ra2tp6tw8cONDcdtttAfdJMq+99tpp9/nQQw+Zvn37Btx30003mbS0NOf7YcOGmYyMDOf7mpoak5CQYLKzs40xxpSUlJiwsDCzevVqZ8zu3buNJJOfn3/Gj685/XTt2rVrZ1544YWAMbGxseb55583xhiza9cuI8l8+OGHzvY333zTuFwu89///tcYY8yiRYtMx44dTUVFhTNmxowZplevXs73N954oxk7dmzAz0lOTjZ33HGHMcaY2tpa4/P5zFNPPeVsLykpMR6Px7z88stN8dDPWkPXzpjv/0JYsGDBafdp49q99dZbxu12m9LSUmd7SUmJcblcJjc31xjDcfdjDV07Y+w87saOHVvn7/3x48eb9PR0Y8yZzdfW464p1s6Y1nXctZqnwH6ssrJSL774om677bZ6Pwy1sLBQ27Zt09SpU+tsy8jIUOfOnTVs2DAtXbo04PRefn6+UlNTA8anpaUpPz/f+bmFhYUBY9xut1JTU50xhYWFqqqqChjTu3dvdevWzRkTTPWt3YgRI/TKK6+ouLhYtbW1WrlypU6ePKkrrrhC0vfrEhMTo6FDhzr7SU1NldvtVkFBgTPm8ssvV3h4uDMmLS1Ne/bs0bfffuuM+bn1PXDggPx+f8CY6OhoJScnt9q1O2Xu3Lnq1KmTBg0apKeeekrV1dXONhvXrqKiQi6XK+AN0SIiIuR2u7V582ZJHHenNGbtTrHtuBsxYoTy8vL0+eefS5I++eQTbd68WWPGjDnj+dp63DXF2p3SWo67VvFp8D+1Zs0alZSU6NZbb613+5IlS9SnTx+NGDEi4P7HH39cV155paKiovT222/r7rvvVnl5ue69915J37+e46fvRB0fH6+ysjKdOHFC3377rWpqauod89lnnzn7CA8Pr/NhrfHx8fL7/WfxqJtGfWu3atUq3XTTTerUqZNCQ0MVFRWl1157TT179pT0/WOKi4sL2E9oaKhiY2Odx+T3+5WUlBQw5tQ6+f1+dezY8bTr++N9/PjX1TcmmBqzdpJ07733avDgwYqNjdUHH3ygrKwsHTlyRE8//bQkO9du+PDhateunWbMmKEnn3xSxhjNnDlTNTU1OnLkiCSOu1Mas3aSncfdzJkzVVZWpt69eyskJEQ1NTV64oknlJ6efsbztfW4a4q1k1rXcdcqA2jJkiUaM2aMEhIS6mw7ceKEVqxYoVmzZtXZ9uP7Bg0apGPHjumpp55yAsgG9a3drFmzVFJSonfeeUedO3fWmjVrdOONN2rTpk3q169fEGfbsjR27TIzM53x/fv3V3h4uO644w5lZ2e3mLeEb24/XbsuXbpo9erVuuuuu/Tss8/K7XZr0qRJGjx4cIv4lOiWpLFrZ+Nxt2rVKr300ktasWKF+vbtq23btun+++9XQkKCJk+eHOzptWhNtXat6bhrdQH05Zdf6p133tGrr75a7/a///3vOn78uG655ZZf3FdycrLmzJmjiooKeTwe+Xy+OldSFBUVyev1KjIyUiEhIQoJCal3jM/nkyT5fD5VVlaqpKQk4CzQj8cES31rt3//fv3pT3/Sjh071LdvX0nSgAEDtGnTJuXk5Gjx4sXy+Xw6evRowL6qq6tVXFwc8LjrW5dT235uzI+3n7qva9euAWMGDhx4tg//rDR27eqTnJys6upqffHFF+rVq5eVaydJV199tfbv36+vv/5aoaGhiomJkc/nU48ePSSJ406NX7v62HDcPfjgg5o5c6YmTpwoSerXr5++/PJLZWdna/LkyWc0X1uPu6ZYu/q05OOu1f1Xa9myZYqLi9PYsWPr3b5kyRKNGzdOXbp0+cV9bdu2TR07dnSqNCUlRXl5eQFjcnNzlZKSIkkKDw/XkCFDAsbU1tYqLy/PGTNkyBCFhYUFjNmzZ48OHjzojAmW+tbu+PHjklTnf90hISGqra2V9P26lJSUqLCw0Nm+YcMG1dbWKjk52RmzceNGVVVVOWNyc3PVq1cvdezY0Rnzc+ublJQkn88XMKasrEwFBQWtdu3qs23bNrndbuc0u41r92OdO3dWTEyMNmzYoKNHj2rcuHGSOO6kxq9dfWw47o4fP/6zfx7PZL62HndNsXb1adHH3Rm/XLoFqKmpMd26dTMzZsyod/vevXuNy+Uyb775Zp1t//znP83zzz9vPv30U7N3716zaNEiExUVZWbPnu2MOXUZ/IMPPmh2795tcnJy6r0M3uPxmOXLl5tdu3aZ22+/3cTExBi/3++MufPOO023bt3Mhg0bzEcffWRSUlJMSkpKE65Ew51u7SorK03Pnj3NZZddZgoKCsy+ffvM/PnzjcvlMuvWrXPGjR492gwaNMgUFBSYzZs3m4suuijgstCSkhITHx9vbr75ZrNjxw6zcuVKExUVVefSxtDQUDN//nyze/du88gjj9R7aWNMTIx5/fXXnct7g3k5sjFnt3YffPCBWbBggdm2bZvZv3+/efHFF02XLl3MLbfc4uzHxrUzxpilS5ea/Px8s2/fPvO3v/3NxMbGmszMzIAxHHeNWztbj7vJkyeb8847z7mU+9VXXzWdO3c2Dz30UIPma+Nx1xRr19qOu1YVQG+99ZaRZPbs2VPv9qysLJOYmBjwXhinvPnmm2bgwIGmffv2pl27dmbAgAFm8eLFdca+++67ZuDAgSY8PNz06NHDLFu2rM6+Fi5caLp162bCw8PNsGHDzJYtWwK2nzhxwtx9992mY8eOJioqytxwww3myJEjjX/gTeDn1u7zzz8348ePN3FxcSYqKsr079+/zqXd33zzjZk0aZJp37698Xq9ZsqUKQHvsWSMMZ988okZOXKk8Xg85rzzzjNz586t87NWrVplLr74YhMeHm769u0bEFnGfH9546xZs0x8fLzxeDxm1KhRp/39PlfOZu0KCwtNcnKyiY6ONhEREaZPnz7mySefNCdPngzYj41rN2PGDBMfH2/CwsLMRRddZP7whz/UeVsLjrvGrZ2tx11ZWZm57777TLdu3UxERITp0aOH+f3vfx9wyfWZzNfG464p1q61HXcuY350HTgAAIAFWt1rgAAAAM4WAQQAAKxDAAEAAOsQQAAAwDoEEAAAsA4BBAAArEMAAQAA6xBAAADAOgQQAACwDgEEAACsQwABAADrEEAAAMA6/x84DT/jMVLVSwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Continuing option 3. Now assign CCB units.  For each, work from most to least underpopped\")\n",
    "#previously, we went from most-used to least-used CCB vtds until each has unit use\")\n",
    "minCCBuse = 1.0\n",
    "print(\"currently, we force each CCB's unit use to be\",minCCBuse)\n",
    "minCCBuse = float(input(\"enter updated value, e.g. 1.02 to hedge against later losses w/contiguity patching\"))\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "CCBuse = [0. for i in range(nCCBs)]\n",
    "for j in range(nCCBs):\n",
    "    postCCBaddPops = list()\n",
    "    unitNo = allUnits.index(j+0.25)\n",
    "    #ccbNbrSet = set(unitNbrs[unitNo])\n",
    "    #ccbFrac = [-1.*CCBpopFrac[t][j] for t in range(nHDs) ]  # -1 to go from most- to least-used\n",
    "    #idx = np.argsort(ccbFrac)\n",
    "    preCCBpop = [np.sum([unitPop[u] for u in HDunitList[t] ]) for t in CCBaddCandidates[j]]\n",
    "    idx = np.argsort(preCCBpop)\n",
    "    i = 0\n",
    "    t = CCBaddCandidates[j][idx[i]] #idx[i]\n",
    "    while CCBuse[j] < minCCBuse  and i < len(CCBaddCandidates[j]) :  #and CCBpopFrac[t][j] > 0:\n",
    "        t = CCBaddCandidates[j][idx[i]] #idx[i]\n",
    "        CCBuse[j] += HDweight[t] * nDistricts\n",
    "        HDunitList[t].append(unitNo)\n",
    "        postCCBaddPops.append(np.sum([unitPop[u] for u in HDunitList[t] ]))\n",
    "        i +=1\n",
    "    unitUse[unitNo] = CCBuse[j]\n",
    "    print(\"final unit use of CCB\",j, \"is\",r5(CCBuse[j]),\"; here is a histogram of HDpop using this CCB\")\n",
    "    plt.hist(postCCBaddPops)\n",
    "    plt.axvline(aDP,ls=\"--\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cf747d9c-cf6d-420e-9c3c-6723619586ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "#end of preliminaries for \"option 3\" - converting HDtractlists to unit lists instead of option 2's geometric probing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "26102ca2-79c1-48db-b873-7fa3a1553911",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "dc26d08c-a5d9-4e7e-9da5-ae98cf658a3a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the histogram of HD pops relative to aDP\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "orig unit avg and sd usage are 1.00146 0.12316\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs) ]\n",
    "print(\"Here is the histogram of HD pops relative to aDP\")\n",
    "plt.hist([HDvPop[t] / aDP for t in range(nHDs) ], bins=20, weights = HDweight, label= \"HDpop / target\" )\n",
    "plt.show()\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, bins=50, weights=unitPop,label=\"read-in\",histtype=\"step\")\n",
    "plt.legend()\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "print(\"orig unit avg and sd usage are\",r5(unpatchedAvg), r5(unpatchedSD) )\n",
    "plt.show()\n",
    "currAvg, currSD = unpatchedAvg, unpatchedSD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "53e4c298-e6cb-4fee-a511-b8f6c3940539",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "c4183011-724a-4014-8c94-f9f9382c7e75",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Did I grossly overuse any units, or skip any live ones?\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "above: underused < 0.5; below overused > 1.6\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Did I grossly overuse any units, or skip any live ones?\")\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < 0.5 and unitPop[u] > 5:\n",
    "        plotPoly(unitGeom[u])\n",
    "        #print(u,unitPop[u], unitUse[u])\n",
    "        #for c in range(nCounties):\n",
    "        #    if u in countyUnitList[c]:\n",
    "        #        print(u,\"is in county\",c)\n",
    "        #        print(\"its neighbor units are\",unitNbrs[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"above: underused < 0.5; below overused > 1.6\")\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 1.6:\n",
    "        plotPoly(unitGeom[u],0.3)\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "ce9292b0-7d6a-419a-9491-d0def779ad04",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are a total of 8934 populated HDs out of 8941\n"
     ]
    }
   ],
   "source": [
    "popHDlist = list()\n",
    "for t in range(nHDs):\n",
    "    if len(HDunitList[t]) > 0:\n",
    "        popHDlist.append(t)\n",
    "populatedTractList = popHDlist.copy()\n",
    "print(\"there are a total of\",len(populatedTractList),\"populated HDs out of\",nHDs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "f7f36559-7f1d-4203-8b24-0e8cc2ce1753",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this will show if we had any duplicated units in HDunitLists\n"
     ]
    },
    {
     "data": {
      "image/png": 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uAABoQeoVMF9//bUyMjI0Z84ctW3b1n+8oqJCr732mqZOnarrr79ePXv21BtvvKH169drw4YNkqSVK1dq586devPNN9W9e3fddNNNmjRpkmbMmKGqqipJ0qxZs5SSkqLnn39eXbp0UVZWlm677Ta98MILDXDJAADAunoFTGZmptLT05WamhpwvKSkRNXV1QHHO3furHPOOUfFxcWSpOLiYnXr1k3x8fH+NWlpafL5fNqxY4d/zfdfOy0tzf8adamsrJTP5wt4AACAlik82CcsXLhQW7Zs0ebNm0865/V6FRERodjY2IDj8fHx8nq9/jXfjZcT50+c+7E1Pp9P3377raKiok763rm5uXryySeDvRwAAGBQUHdg9u/frz/96U+aP3++IiMjG2umehk3bpwqKir8j/379zf3SAAAoJEEFTAlJSU6ePCgevToofDwcIWHh2vNmjWaNm2awsPDFR8fr6qqKpWXlwc8r6ysTAkJCZKkhISEk34r6cTXp1rjdrvrvPsiSS6XS263O+ABAABapqAC5oYbbtD27du1bds2/6NXr17KyMjw/+dWrVqpqKjI/5zS0lLt27dPHo9HkuTxeLR9+3YdPHjQv6awsFBut1tdu3b1r/nua5xYc+I1AADAz1tQ74GJjo7WxRdfHHCsTZs2at++vf/4sGHDlJ2drXbt2sntduuhhx6Sx+PRlVdeKUnq16+funbtqiFDhigvL09er1ePPfaYMjMz5XK5JEn333+/Xn75ZY0ZM0b33HOPVq1apcWLFys/P78hrhkAABgX9Jt4T+WFF15QaGioBg4cqMrKSqWlpemVV17xnw8LC9OyZcv0wAMPyOPxqE2bNho6dKgmTpzoX5OSkqL8/HyNGjVKL730ks4++2y9+uqrSktLa+hxAQCAQSGO4zjNPURj8Pl8iomJUUVFRYO/H+bcsfbuBH02Jb25RwAA4JRO9+c3/19IAADAHAIGAACYQ8AAAABzCBgAAGAOAQMAAMwhYAAAgDkEDAAAMIeAAQAA5hAwAADAHAIGAACYQ8AAAABzCBgAAGAOAQMAAMwhYAAAgDkEDAAAMIeAAQAA5hAwAADAHAIGAACYQ8AAAABzCBgAAGAOAQMAAMwhYAAAgDkEDAAAMIeAAQAA5hAwAADAHAIGAACYQ8AAAABzCBgAAGAOAQMAAMwhYAAAgDkEDAAAMIeAAQAA5hAwAADAHAIGAACYQ8AAAABzCBgAAGAOAQMAAMwhYAAAgDkEDAAAMIeAAQAA5hAwAADAHAIGAACYQ8AAAABzCBgAAGAOAQMAAMwhYAAAgDkEDAAAMIeAAQAA5hAwAADAHAIGAACYQ8AAAABzCBgAAGAOAQMAAMwhYAAAgDkEDAAAMIeAAQAA5hAwAADAHAIGAACYQ8AAAABzCBgAAGAOAQMAAMwhYAAAgDkEDAAAMIeAAQAA5hAwAADAHAIGAACYQ8AAAABzggqY3NxcXX755YqOjlZcXJwGDBig0tLSgDXHjh1TZmam2rdvr7POOksDBw5UWVlZwJp9+/YpPT1drVu3VlxcnEaPHq2ampqANatXr1aPHj3kcrl0/vnna+7cufW7QgAA0OIEFTBr1qxRZmamNmzYoMLCQlVXV6tfv346evSof82oUaP07rvv6q233tKaNWt04MAB3Xrrrf7zx48fV3p6uqqqqrR+/XrNmzdPc+fOVU5Ojn/N3r17lZ6eruuuu07btm3TyJEjde+992rFihUNcMkAAMC6EMdxnPo++csvv1RcXJzWrFmja665RhUVFfrFL36hBQsW6LbbbpMk7d69W126dFFxcbGuvPJKvffee7r55pt14MABxcfHS5JmzZqlRx99VF9++aUiIiL06KOPKj8/Xx999JH/ew0aNEjl5eUqKCg4rdl8Pp9iYmJUUVEht9td30us07lj8xv09ZrCZ1PSm3sEAABO6XR/fv+k98BUVFRIktq1aydJKikpUXV1tVJTU/1rOnfurHPOOUfFxcWSpOLiYnXr1s0fL5KUlpYmn8+nHTt2+Nd89zVOrDnxGgAA4OctvL5PrK2t1ciRI9WnTx9dfPHFkiSv16uIiAjFxsYGrI2Pj5fX6/Wv+W68nDh/4tyPrfH5fPr2228VFRV10jyVlZWqrKz0f+3z+ep7aQAA4AxX7zswmZmZ+uijj7Rw4cKGnKfecnNzFRMT438kJyc390gAAKCR1CtgsrKytGzZMr3//vs6++yz/ccTEhJUVVWl8vLygPVlZWVKSEjwr/n+byWd+PpUa9xud513XyRp3Lhxqqio8D/2799fn0sDAAAGBBUwjuMoKytLS5Ys0apVq5SSkhJwvmfPnmrVqpWKior8x0pLS7Vv3z55PB5Jksfj0fbt23Xw4EH/msLCQrndbnXt2tW/5ruvcWLNideoi8vlktvtDngAAICWKaj3wGRmZmrBggX629/+pujoaP97VmJiYhQVFaWYmBgNGzZM2dnZateundxutx566CF5PB5deeWVkqR+/fqpa9euGjJkiPLy8uT1evXYY48pMzNTLpdLknT//ffr5Zdf1pgxY3TPPfdo1apVWrx4sfLz7f32DwAAaHhB3YGZOXOmKioq9Otf/1qJiYn+x6JFi/xrXnjhBd18880aOHCgrrnmGiUkJOjtt9/2nw8LC9OyZcsUFhYmj8ejO++8U3fddZcmTpzoX5OSkqL8/HwVFhbq0ksv1fPPP69XX31VaWlpDXDJAADAup/0OTBnMj4HJhCfAwMAsKBJPgcGAACgORAwAADAHAIGAACYQ8AAAABzCBgAAGAOAQMAAMwhYAAAgDkEDAAAMIeAAQAA5hAwAADAHAIGAACYQ8AAAABzCBgAAGAOAQMAAMwhYAAAgDkEDAAAMIeAAQAA5hAwAADAHAIGAACYQ8AAAABzCBgAAGAOAQMAAMwhYAAAgDkEDAAAMIeAAQAA5hAwAADAHAIGAACYQ8AAAABzCBgAAGAOAQMAAMwhYAAAgDkEDAAAMIeAAQAA5hAwAADAHAIGAACYQ8AAAABzCBgAAGAOAQMAAMwhYAAAgDkEDAAAMIeAAQAA5hAwAADAHAIGAACYQ8AAAABzCBgAAGAOAQMAAMwhYAAAgDkEDAAAMIeAAQAA5hAwAADAHAIGAACYQ8AAAABzCBgAAGAOAQMAAMwhYAAAgDkEDAAAMIeAAQAA5hAwAADAHAIGAACYQ8AAAABzCBgAAGAOAQMAAMwhYAAAgDkEDAAAMIeAAQAA5hAwAADAHAIGAACYQ8AAAABzzuiAmTFjhs4991xFRkaqd+/e2rRpU3OPBAAAzgBnbMAsWrRI2dnZmjBhgrZs2aJLL71UaWlpOnjwYHOPBgAAmtkZGzBTp07V8OHDdffdd6tr166aNWuWWrdurddff725RwMAAM0svLkHqEtVVZVKSko0btw4/7HQ0FClpqaquLi4zudUVlaqsrLS/3VFRYUkyefzNfh8tZXfNPhrNrbG2AcAABraiZ9XjuP86LozMmC++uorHT9+XPHx8QHH4+PjtXv37jqfk5ubqyeffPKk48nJyY0yozUxLzb3BAAAnL4jR44oJibmB8+fkQFTH+PGjVN2drb/69raWh06dEjt27dXSEhIg30fn8+n5ORk7d+/X263u8FeFydjr5sG+9w02OemwT43jcbcZ8dxdOTIESUlJf3oujMyYDp06KCwsDCVlZUFHC8rK1NCQkKdz3G5XHK5XAHHYmNjG2tEud1u/uFoIux102Cfmwb73DTY56bRWPv8Y3deTjgj38QbERGhnj17qqioyH+strZWRUVF8ng8zTgZAAA4E5yRd2AkKTs7W0OHDlWvXr10xRVX6MUXX9TRo0d19913N/doAACgmZ2xAXPHHXfoyy+/VE5Ojrxer7p3766CgoKT3tjb1FwulyZMmHDSX1eh4bHXTYN9bhrsc9Ngn5vGmbDPIc6pfk8JAADgDHNGvgcGAADgxxAwAADAHAIGAACYQ8AAAABzCJg6zJgxQ+eee64iIyPVu3dvbdq06UfXv/XWW+rcubMiIyPVrVs3LV++vIkmtS+YvZ4zZ4769u2rtm3bqm3btkpNTT3lfzf4n2D/TJ+wcOFChYSEaMCAAY07YAsR7D6Xl5crMzNTiYmJcrlcuuCCC/j3x2kIdp9ffPFFXXjhhYqKilJycrJGjRqlY8eONdG0Nq1du1a33HKLkpKSFBISonfeeeeUz1m9erV69Oghl8ul888/X3Pnzm3cIR0EWLhwoRMREeG8/vrrzo4dO5zhw4c7sbGxTllZWZ3r161b54SFhTl5eXnOzp07nccee8xp1aqVs3379iae3J5g93rw4MHOjBkznK1btzq7du1y/vCHPzgxMTHOF1980cST2xLsPp+wd+9e55e//KXTt29f57e//W3TDGtYsPtcWVnp9OrVy+nfv7/zwQcfOHv37nVWr17tbNu2rYkntyXYfZ4/f77jcrmc+fPnO3v37nVWrFjhJCYmOqNGjWriyW1Zvny5M378eOftt992JDlLliz50fV79uxxWrdu7WRnZzs7d+50pk+f7oSFhTkFBQWNNiMB8z1XXHGFk5mZ6f/6+PHjTlJSkpObm1vn+ttvv91JT08PONa7d2/nvvvua9Q5W4Jg9/r7ampqnOjoaGfevHmNNWKLUJ99rqmpca666irn1VdfdYYOHUrAnIZg93nmzJnOeeed51RVVTXViC1CsPucmZnpXH/99QHHsrOznT59+jTqnC3J6QTMmDFjnIsuuijg2B133OGkpaU12lz8FdJ3VFVVqaSkRKmpqf5joaGhSk1NVXFxcZ3PKS4uDlgvSWlpaT+4Hv9Tn73+vm+++UbV1dVq165dY41pXn33eeLEiYqLi9OwYcOaYkzz6rPPS5culcfjUWZmpuLj43XxxRdr8uTJOn78eFONbU599vmqq65SSUmJ/6+Z9uzZo+XLl6t///5NMvPPRXP8LDxjP4m3OXz11Vc6fvz4SZ/2Gx8fr927d9f5HK/XW+d6r9fbaHO2BPXZ6+979NFHlZSUdNI/NPj/6rPPH3zwgV577TVt27atCSZsGeqzz3v27NGqVauUkZGh5cuX69NPP9WDDz6o6upqTZgwoSnGNqc++zx48GB99dVXuvrqq+U4jmpqanT//ffr//7v/5pi5J+NH/pZ6PP59O233yoqKqrBvyd3YGDSlClTtHDhQi1ZskSRkZHNPU6LceTIEQ0ZMkRz5sxRhw4dmnucFq22tlZxcXGaPXu2evbsqTvuuEPjx4/XrFmzmnu0FmX16tWaPHmyXnnlFW3ZskVvv/228vPzNWnSpOYeDT8Rd2C+o0OHDgoLC1NZWVnA8bKyMiUkJNT5nISEhKDW43/qs9cnPPfcc5oyZYr+/ve/65JLLmnMMc0Ldp///e9/67PPPtMtt9ziP1ZbWytJCg8PV2lpqTp16tS4QxtUnz/PiYmJatWqlcLCwvzHunTpIq/Xq6qqKkVERDTqzBbVZ58ff/xxDRkyRPfee68kqVu3bjp69KhGjBih8ePHKzSU/x3fEH7oZ6Hb7W6Uuy8Sd2ACREREqGfPnioqKvIfq62tVVFRkTweT53P8Xg8AeslqbCw8AfX43/qs9eSlJeXp0mTJqmgoEC9evVqilFNC3afO3furO3bt2vbtm3+x29+8xtdd9112rZtm5KTk5tyfDPq8+e5T58++vTTT/2BKEkff/yxEhMTiZcfUJ99/uabb06KlBPR6PB/BdhgmuVnYaO9PdiohQsXOi6Xy5k7d66zc+dOZ8SIEU5sbKzj9Xodx3GcIUOGOGPHjvWvX7dunRMeHu4899xzzq5du5wJEybwa9SnKdi9njJlihMREeH89a9/df773//6H0eOHGmuSzAh2H3+Pn4L6fQEu8/79u1zoqOjnaysLKe0tNRZtmyZExcX5zz11FPNdQkmBLvPEyZMcKKjo52//OUvzp49e5yVK1c6nTp1cm6//fbmugQTjhw54mzdutXZunWrI8mZOnWqs3XrVufzzz93HMdxxo4d6wwZMsS//sSvUY8ePdrZtWuXM2PGDH6NujlMnz7dOeecc5yIiAjniiuucDZs2OA/d+211zpDhw4NWL948WLnggsucCIiIpyLLrrIyc/Pb+KJ7Qpmrzt27OhIOukxYcKEph/cmGD/TH8XAXP6gt3n9evXO71793ZcLpdz3nnnOU8//bRTU1PTxFPbE8w+V1dXO0888YTTqVMnJzIy0klOTnYefPBB5/Dhw00/uCHvv/9+nf++PbG3Q4cOda699tqTntO9e3cnIiLCOe+885w33nijUWcMcRzuoQEAAFt4DwwAADCHgAEAAOYQMAAAwBwCBgAAmEPAAAAAcwgYAABgDgEDAADMIWAAAIA5BAwAADCHgAEAAOYQMAAAwBwCBgAAmPP/AEQ4eqHinnroAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"this will show if we had any duplicated units in HDunitLists\")\n",
    "excess = [0 for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    excess[t] = len(HDunitList[t]) - len(set(HDunitList[t]))\n",
    "plt.hist(excess)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "27bc7f0a-d7ff-4c68-830f-29ba5013c314",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#popHDlist = populatedTractList.copy()  #somehow our popHDlist started to include the cut District HD starters\n",
    "HDunitList = [list(set(HDunitList[t])) for t in range(nHDs)]\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs)]\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "af8a4945-40c2-40df-8dd4-d516f4de2f0f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "quick classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 700 time is now 168\n",
      "working on HD 1402 time is now 292\n",
      "working on HD 2102 time is now 376\n",
      "working on HD 2802 time is now 525\n",
      "working on HD 3503 time is now 646\n",
      "working on HD 4204 time is now 744\n",
      "working on HD 4906 time is now 894\n",
      "working on HD 5606 time is now 1050\n",
      "working on HD 6306 time is now 1235\n",
      "working on HD 7006 time is now 1413\n",
      "working on HD 7706 time is now 1597\n",
      "working on HD 8407 time is now 1757\n",
      "out of 8934 total HDs, there were 2245.0 contiguous and 625.0 complement-contiguous HDs\n",
      "6321 HDs had both discontiguity problems, while enclave-only = 1988 and discontig only= 368\n",
      "here are the histograms of the small piece and enclave list lengths, total no = 6689 1988\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And here are the small-HD-piece and small-enclave pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### THIS IS THE \"FIND DISCO\" CODE\n",
    "print(\"quick classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%700 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs,4) #,6) #6 is high (slow) to try to avoid false enclaves\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )\n",
    "\n",
    "print(\"here are the histograms of the small piece and enclave list lengths, total no =\",\n",
    "      len(smallPieceLists),len(enclaveLists) )\n",
    "plt.hist([s for s in smallPieceLengths],label=\"small piece l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.hist([e for e in enclaveLengths],label=\"enclave l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(\"And here are the small-HD-piece and small-enclave pops\")\n",
    "plt.hist([sum(unitPop[u] for u in s) for s in smallPieceLists],label=\"small piece 1 pop\",histtype='step')\n",
    "plt.hist([sum(unitPop[u] for u in e) for e in enclaveLists],label=\"enclave 1 pop\",histtype='step')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "40f06e44-45be-4a36-b62c-26698af70e06",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Before addressing enclaves, let's triage the discontinuous HDs\n",
      "Now work on dropping smallish disconnected pieces that would keep us above 747298 district pop vs 786629 target\n",
      "we'll also trim any HD with total islands' pop <= 15732\n",
      "working on HD 2\n",
      "working on HD 246\n",
      "working on HD 493\n",
      "working on HD 737\n",
      "working on HD 1007\n",
      "working on HD 1302\n",
      "working on HD 1638\n",
      "working on HD 1930\n",
      "working on HD 2201\n",
      "working on HD 2505\n",
      "working on HD 2737\n",
      "working on HD 2956\n",
      "working on HD 3220\n",
      "working on HD 3453\n",
      "working on HD 3695\n",
      "working on HD 4060\n",
      "working on HD 4465\n",
      "working on HD 4802\n",
      "working on HD 5208\n",
      "working on HD 5423\n",
      "working on HD 5706\n",
      "working on HD 5928\n",
      "working on HD 6200\n",
      "working on HD 6502\n",
      "working on HD 6731\n",
      "working on HD 6946\n",
      "working on HD 7160\n",
      "working on HD 7372\n",
      "working on HD 7582\n",
      "working on HD 7815\n",
      "working on HD 8055\n",
      "working on HD 8356\n",
      "working on HD 8589\n",
      "working on HD 8833\n",
      "Out of 6689 discontig HDs 6689 had discontig HDs.\n",
      "Of these, 6372 won't be under 747298 after all minor discontigys were shed, while 317 would be too underpopped if we trimmed the discontig pieces\n",
      "here is adjusted pop by original pop for those we trimmed and those we didn't (x)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, reclassify after the trimming\n",
      "reclassifying HD 2\n",
      "reclassifying HD 622\n",
      "reclassifying HD 1302\n",
      "reclassifying HD 2085\n",
      "reclassifying HD 2737\n",
      "reclassifying HD 3331\n",
      "reclassifying HD 4060\n",
      "reclassifying HD 4959\n",
      "reclassifying HD 5706\n",
      "reclassifying HD 6347\n",
      "reclassifying HD 6946\n",
      "reclassifying HD 7474\n",
      "reclassifying HD 8055\n",
      "reclassifying HD 8701\n",
      "There are 317 HDs still with both discontinuity problems\n",
      "Additionally, 6023 of the originally discontig HDs are now contig but still have an enclave\n"
     ]
    }
   ],
   "source": [
    "print(\"Before addressing enclaves, let's triage the discontinuous HDs\")\n",
    "#this is the CANTRIM code####\n",
    "\n",
    "#for t in sPgenerator:\n",
    "#    isContig, smallP = isContiguous(filledHDvtdList[t],unitNbrs)\n",
    "#    if isContig:\n",
    "#        print(\"oops!\",t)\n",
    "maxNudgeDownPop = int(0.02 * aDP)\n",
    "minPostFixPop = int(0.95 * aDP)\n",
    "print(\"Now work on dropping smallish disconnected pieces that would keep us above\",minPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "print(\"we'll also trim any HD with total islands' pop <=\",maxNudgeDownPop)\n",
    "nOrigIslands = [0 for t in range(nHDs)]\n",
    "totalIslandPop = [0. for t in range(nHDs)]\n",
    "tryToTrim, canTrim, cantTrim = list(), list(), list()\n",
    "for jj, t in enumerate(sPgenerator):\n",
    "    if jj%200 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    currList, shedList, shedPop = HDunitList[t].copy(), list(),  0.\n",
    "    done,newList = isContiguous(currList,unitNbrs)\n",
    "    if not done:\n",
    "        tryToTrim.append(t)\n",
    "        while not done:\n",
    "            shedList += newList\n",
    "            shedPop += np.sum( [unitPop[u] for u in newList] )\n",
    "            currList = list (  set(currList).difference(set(newList ))  )\n",
    "            done, newList = isContiguous(currList, unitNbrs)\n",
    "            nOrigIslands[t] +=1\n",
    "            \n",
    "        totalIslandPop[t] = shedPop            \n",
    "        if shedPop <= maxNudgeDownPop or HDvPop[t] - shedPop >= minPostFixPop:\n",
    "            canTrim.append(t)\n",
    "            HDvPop[t] -= shedPop\n",
    "            HDunitList[t] = list (set(HDunitList[t]).difference(set(shedList)) )\n",
    "        else:\n",
    "            cantTrim.append(t)\n",
    "print(\"Out of\",len(sPgenerator),\"discontig HDs\",len(tryToTrim),\"had discontig HDs.\")\n",
    "print(\"Of these,\",len(canTrim),\"won't be under\",minPostFixPop,\"after all minor discontigys were shed, while\",\n",
    "      len(cantTrim),\"would be too underpopped if we trimmed the discontig pieces\")\n",
    "plt.scatter([HDvPop[t] + totalIslandPop[t] for t in canTrim],[HDvPop[t] for t in canTrim])\n",
    "plt.scatter([HDvPop[t]                     for t in cantTrim],[HDvPop[t] for t in cantTrim],marker=\"x\")\n",
    "print(\"here is adjusted pop by original pop for those we trimmed and those we didn't (x)\")\n",
    "plt.plot([0.9*aDP, 1.1*aDP],[aDP, aDP], ls=\"--\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Now, reclassify after the trimming\")\n",
    "badDiscoList, stillHasEnclave = list(), list()\n",
    "for i, t in enumerate(sPgenerator):    \n",
    "    if i%500 == 0:\n",
    "        print(\"reclassifying HD\",t)\n",
    "    unbroken, noEnclave, __, ____ = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if not unbroken:\n",
    "        badDiscoList.append(t)  #will do a major triage on these later\n",
    "    if unbroken and not noEnclave:\n",
    "        stillHasEnclave.append(t)\n",
    "print(\"There are\",len(badDiscoList),\"HDs still with both discontinuity problems\")\n",
    "print(\"Additionally,\",len(stillHasEnclave),\"of the originally discontig HDs are now contig but still have an enclave\")\n",
    "eLgenerator += stillHasEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "4037f8cb-661b-4032-bfb9-e147975e3bbb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/13/24 - classify further: ID those with adjoiners intersecting the map boundary vs internal islands\n",
      "working on enclave-generating HD 0\n",
      "working on enclave-generating HD 2023\n",
      "working on enclave-generating HD 4231\n",
      "working on enclave-generating HD 5664\n",
      "working on enclave-generating HD 14\n",
      "working on enclave-generating HD 675\n",
      "working on enclave-generating HD 1600\n",
      "working on enclave-generating HD 2408\n",
      "working on enclave-generating HD 3135\n",
      "working on enclave-generating HD 3810\n",
      "working on enclave-generating HD 5135\n",
      "working on enclave-generating HD 5797\n",
      "working on enclave-generating HD 6496\n",
      "working on enclave-generating HD 7054\n",
      "working on enclave-generating HD 7586\n",
      "working on enclave-generating HD 8284\n",
      "working on enclave-generating HD 8923\n",
      "Out of 8011 HDpolys that generated enclaves, 0 had contiguous adjrs, while 5339 neighbored a state boundary while 2672 had only internal enclaves\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to print the total enclave pops for all enclavy HDs.  This takes a few min; not required 0\n"
     ]
    }
   ],
   "source": [
    "print(\"1/13/24 - classify further: ID those with adjoiners intersecting the map boundary vs internal islands\")\n",
    "internals, edgers, nOK = list(), list(), 0\n",
    "for i,t in enumerate(eLgenerator):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on enclave-generating HD\",t)\n",
    "    twoNbrs = get2nbrs(HDunitList[t],unitNbrs)\n",
    "    isContig, adjSublist = isContiguous(twoNbrs,unitNbrs)\n",
    "    if isContig:\n",
    "        nOK +=1\n",
    "    else:\n",
    "        if len (set(getAdjoiners(HDunitList[t],unitNbrs)).intersection(set(borderUnits)))  > 0:\n",
    "            edgers.append(t)\n",
    "        else:\n",
    "            internals.append(t)\n",
    "print(\"Out of\",len(eLgenerator),\"HDpolys that generated enclaves,\",nOK,\"had contiguous adjrs, while\",len(edgers),\n",
    "      \"neighbored a state boundary while\",len(internals),\"had only internal enclaves\")\n",
    " \n",
    "plotEnclaves = input(\"enter 1 to print the total enclave pops for all enclavy HDs.  This takes a few min; not required\")\n",
    "if str(plotEnclaves) == str(1):\n",
    "    for i,t in enumerate(internals): \n",
    "        if i%500 == 0:\n",
    "            print(\"computing full enclave lists for HD\",t)\n",
    "        fullEnclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        tEpop = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in fullEnclaveLists ] ) \n",
    "        plt.scatter(HDvPop[t],tEpop)\n",
    "    plt.plot([aDP,aDP],[0,5000],ls=\"--\")\n",
    "    print(\"Here are the total enclave pops for enclaving HDs not touching the state boundary vs. the original HD pop\")\n",
    "    plt.show()    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "05f929ce-4f94-47a6-baf4-60c5a89e2ae5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's fill in all enclaves that won't put us over 825961 district pop vs 786629 target\n",
      "working on enclave-y HD 1 . We have evaluated 0 of 8011 enclavy HDs.Time is now 0\n",
      "working on enclave-y HD 5200 . We have evaluated 100 of 8011 enclavy HDs.Time is now 11\n",
      "working on enclave-y HD 6385 . We have evaluated 200 of 8011 enclavy HDs.Time is now 21\n",
      "working on enclave-y HD 7565 . We have evaluated 300 of 8011 enclavy HDs.Time is now 35\n",
      "working on enclave-y HD 105 . We have evaluated 400 of 8011 enclavy HDs.Time is now 49\n",
      "working on enclave-y HD 2096 . We have evaluated 500 of 8011 enclavy HDs.Time is now 66\n",
      "working on enclave-y HD 2733 . We have evaluated 600 of 8011 enclavy HDs.Time is now 82\n",
      "working on enclave-y HD 3311 . We have evaluated 700 of 8011 enclavy HDs.Time is now 102\n",
      "working on enclave-y HD 3611 . We have evaluated 800 of 8011 enclavy HDs.Time is now 113\n",
      "working on enclave-y HD 4702 . We have evaluated 900 of 8011 enclavy HDs.Time is now 131\n",
      "working on enclave-y HD 5268 . We have evaluated 1000 of 8011 enclavy HDs.Time is now 146\n",
      "working on enclave-y HD 5369 . We have evaluated 1100 of 8011 enclavy HDs.Time is now 165\n",
      "working on enclave-y HD 5714 . We have evaluated 1200 of 8011 enclavy HDs.Time is now 179\n",
      "working on enclave-y HD 6130 . We have evaluated 1300 of 8011 enclavy HDs.Time is now 191\n",
      "working on enclave-y HD 6286 . We have evaluated 1400 of 8011 enclavy HDs.Time is now 203\n",
      "working on enclave-y HD 6461 . We have evaluated 1500 of 8011 enclavy HDs.Time is now 217\n",
      "working on enclave-y HD 6788 . We have evaluated 1600 of 8011 enclavy HDs.Time is now 229\n",
      "working on enclave-y HD 6893 . We have evaluated 1700 of 8011 enclavy HDs.Time is now 244\n",
      "working on enclave-y HD 7001 . We have evaluated 1800 of 8011 enclavy HDs.Time is now 259\n",
      "working on enclave-y HD 7108 . We have evaluated 1900 of 8011 enclavy HDs.Time is now 272\n",
      "working on enclave-y HD 7216 . We have evaluated 2000 of 8011 enclavy HDs.Time is now 286\n",
      "working on enclave-y HD 7323 . We have evaluated 2100 of 8011 enclavy HDs.Time is now 300\n",
      "working on enclave-y HD 7427 . We have evaluated 2200 of 8011 enclavy HDs.Time is now 313\n",
      "working on enclave-y HD 7532 . We have evaluated 2300 of 8011 enclavy HDs.Time is now 326\n",
      "working on enclave-y HD 7813 . We have evaluated 2400 of 8011 enclavy HDs.Time is now 336\n",
      "working on enclave-y HD 8176 . We have evaluated 2500 of 8011 enclavy HDs.Time is now 350\n",
      "working on enclave-y HD 8569 . We have evaluated 2600 of 8011 enclavy HDs.Time is now 363\n",
      "working on enclave-y HD 185 . We have evaluated 2700 of 8011 enclavy HDs.Time is now 375\n",
      "working on enclave-y HD 788 . We have evaluated 2800 of 8011 enclavy HDs.Time is now 382\n",
      "working on enclave-y HD 1268 . We have evaluated 2900 of 8011 enclavy HDs.Time is now 389\n",
      "working on enclave-y HD 1511 . We have evaluated 3000 of 8011 enclavy HDs.Time is now 393\n",
      "working on enclave-y HD 1833 . We have evaluated 3100 of 8011 enclavy HDs.Time is now 397\n",
      "working on enclave-y HD 2359 . We have evaluated 3200 of 8011 enclavy HDs.Time is now 405\n",
      "working on enclave-y HD 3013 . We have evaluated 3300 of 8011 enclavy HDs.Time is now 411\n",
      "working on enclave-y HD 3673 . We have evaluated 3400 of 8011 enclavy HDs.Time is now 418\n",
      "working on enclave-y HD 3960 . We have evaluated 3500 of 8011 enclavy HDs.Time is now 424\n",
      "working on enclave-y HD 4212 . We have evaluated 3600 of 8011 enclavy HDs.Time is now 430\n",
      "working on enclave-y HD 4386 . We have evaluated 3700 of 8011 enclavy HDs.Time is now 436\n",
      "working on enclave-y HD 4650 . We have evaluated 3800 of 8011 enclavy HDs.Time is now 442\n",
      "working on enclave-y HD 5039 . We have evaluated 3900 of 8011 enclavy HDs.Time is now 448\n",
      "working on enclave-y HD 5456 . We have evaluated 4000 of 8011 enclavy HDs.Time is now 454\n",
      "working on enclave-y HD 6028 . We have evaluated 4100 of 8011 enclavy HDs.Time is now 462\n",
      "working on enclave-y HD 8080 . We have evaluated 4200 of 8011 enclavy HDs.Time is now 471\n",
      "working on enclave-y HD 8884 . We have evaluated 4300 of 8011 enclavy HDs.Time is now 478\n",
      "working on enclave-y HD 195 . We have evaluated 4400 of 8011 enclavy HDs.Time is now 488\n",
      "working on enclave-y HD 336 . We have evaluated 4500 of 8011 enclavy HDs.Time is now 495\n",
      "working on enclave-y HD 525 . We have evaluated 4600 of 8011 enclavy HDs.Time is now 504\n",
      "working on enclave-y HD 663 . We have evaluated 4700 of 8011 enclavy HDs.Time is now 514\n",
      "working on enclave-y HD 826 . We have evaluated 4800 of 8011 enclavy HDs.Time is now 525\n",
      "working on enclave-y HD 974 . We have evaluated 4900 of 8011 enclavy HDs.Time is now 534\n",
      "working on enclave-y HD 1226 . We have evaluated 5000 of 8011 enclavy HDs.Time is now 542\n",
      "working on enclave-y HD 1440 . We have evaluated 5100 of 8011 enclavy HDs.Time is now 547\n",
      "working on enclave-y HD 1643 . We have evaluated 5200 of 8011 enclavy HDs.Time is now 552\n",
      "working on enclave-y HD 1832 . We have evaluated 5300 of 8011 enclavy HDs.Time is now 559\n",
      "working on enclave-y HD 1986 . We have evaluated 5400 of 8011 enclavy HDs.Time is now 567\n",
      "working on enclave-y HD 2166 . We have evaluated 5500 of 8011 enclavy HDs.Time is now 577\n",
      "working on enclave-y HD 2316 . We have evaluated 5600 of 8011 enclavy HDs.Time is now 588\n",
      "working on enclave-y HD 2541 . We have evaluated 5700 of 8011 enclavy HDs.Time is now 595\n",
      "working on enclave-y HD 2777 . We have evaluated 5800 of 8011 enclavy HDs.Time is now 604\n",
      "working on enclave-y HD 2989 . We have evaluated 5900 of 8011 enclavy HDs.Time is now 612\n",
      "working on enclave-y HD 3159 . We have evaluated 6000 of 8011 enclavy HDs.Time is now 617\n",
      "working on enclave-y HD 3308 . We have evaluated 6100 of 8011 enclavy HDs.Time is now 623\n",
      "working on enclave-y HD 3504 . We have evaluated 6200 of 8011 enclavy HDs.Time is now 631\n",
      "working on enclave-y HD 3692 . We have evaluated 6300 of 8011 enclavy HDs.Time is now 639\n",
      "working on enclave-y HD 4014 . We have evaluated 6400 of 8011 enclavy HDs.Time is now 647\n",
      "working on enclave-y HD 4332 . We have evaluated 6500 of 8011 enclavy HDs.Time is now 653\n",
      "working on enclave-y HD 4814 . We have evaluated 6600 of 8011 enclavy HDs.Time is now 662\n",
      "working on enclave-y HD 5150 . We have evaluated 6700 of 8011 enclavy HDs.Time is now 670\n",
      "working on enclave-y HD 5485 . We have evaluated 6800 of 8011 enclavy HDs.Time is now 682\n",
      "working on enclave-y HD 5752 . We have evaluated 6900 of 8011 enclavy HDs.Time is now 691\n",
      "working on enclave-y HD 5875 . We have evaluated 7000 of 8011 enclavy HDs.Time is now 704\n",
      "working on enclave-y HD 6079 . We have evaluated 7100 of 8011 enclavy HDs.Time is now 713\n",
      "working on enclave-y HD 6598 . We have evaluated 7200 of 8011 enclavy HDs.Time is now 727\n",
      "working on enclave-y HD 6720 . We have evaluated 7300 of 8011 enclavy HDs.Time is now 736\n",
      "working on enclave-y HD 7696 . We have evaluated 7400 of 8011 enclavy HDs.Time is now 745\n",
      "working on enclave-y HD 7885 . We have evaluated 7500 of 8011 enclavy HDs.Time is now 757\n",
      "working on enclave-y HD 8086 . We have evaluated 7600 of 8011 enclavy HDs.Time is now 770\n",
      "working on enclave-y HD 8360 . We have evaluated 7700 of 8011 enclavy HDs.Time is now 781\n",
      "working on enclave-y HD 8640 . We have evaluated 7800 of 8011 enclavy HDs.Time is now 790\n",
      "working on enclave-y HD 8773 . We have evaluated 7900 of 8011 enclavy HDs.Time is now 797\n",
      "working on enclave-y HD 8923 . We have evaluated 8000 of 8011 enclavy HDs.Time is now 805\n",
      "Out of 8011 HDs with enclaves 8011 had enclaves.\n",
      "Of these, 7876 wouldn't be over 825961 if all enclaves filled, while 135 were too populous\n",
      "here is enclave pop by final pop for those we filled\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### THIS IS THE \"CANFILL\" CODE  #check if sum of enclave pops small enough to add\n",
    "maxNudgeUpPop = int(0.02 * aDP)\n",
    "maxPostFixPop = int(1.05 * aDP)\n",
    "print(\"Now, let's fill in all enclaves that won't put us over\",maxPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "nOrigEnclaves = [0 for t in range(nHDs)]\n",
    "totalEnclavePop = [0. for t in range(nHDs)]\n",
    "tryToFill, canFill, cantFill = list(), list(), list()\n",
    "startTime = time.time()  #takes about xx sec per HD triage\n",
    "        \n",
    "for iii, t in enumerate(internals + edgers):\n",
    "    if iii%100 == 0:\n",
    "        print(\"working on enclave-y HD\",t,\". We have evaluated\",iii,\"of\",len(internals+edgers),\"enclavy HDs.Time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and not noEnclave:  #\"and unbroken\" new 1/15 - discontig HDs will usually appear to have enclaves.  We'll fix these in later block\n",
    "        tryToFill.append(t)\n",
    "        enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        nOrigEnclaves[t] = len(enclaveLists)\n",
    "        totalEnclavePop[t] = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in enclaveLists ] ) \n",
    "        if HDvPop[t] + totalEnclavePop[t] <= maxPostFixPop or totalEnclavePop[t] < maxNudgeUpPop:\n",
    "            canFill.append(t)\n",
    "            for eL in enclaveLists:\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += np.sum([unitPop[u] for u in eL])\n",
    "        else:\n",
    "            cantFill.append(t)\n",
    "print(\"Out of\",len(internals+edgers),\"HDs with enclaves\",len(tryToFill),\"had enclaves.\")\n",
    "print(\"Of these,\",len(canFill),\"wouldn't be over\",maxPostFixPop,\"if all enclaves filled, while\",len(cantFill),\"were too populous\")\n",
    "plt.scatter([HDvPop[t] for t in canFill],[totalEnclavePop[t] for t in canFill])\n",
    "print(\"here is enclave pop by final pop for those we filled\")\n",
    "plt.show()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "8987ad1f-d372-415d-a2ec-8fc6736c5102",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2672 5339 6321 3704\n",
      "135 135 7876\n"
     ]
    }
   ],
   "source": [
    "print(len(internals),len(edgers),len(doubleTroubleList),len(set(edgers).intersection(set(doubleTroubleList))))\n",
    "print(len(set(edgers).difference(set(canFill))) ,len(cantFill) , len(canFill))\n",
    "#610 3379 2187 1954\n",
    "#80 80 3909  for original MN option3 (assigned CCBs by captured area)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "8fa887be-92e6-422a-8e80-e00fd3265aab",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "defining and displaying current unit use after above manipulations; compare to original farther above.\n",
      "current avg use and its sd are 1.00297 0.12299\n",
      "CCB cluster 0 = unit 9767 with pop 97574.0 now has use of 1.021368541986048\n",
      "CCB cluster 1 = unit 9768 with pop 58240.0 now has use of 1.020225691913776\n",
      "CCB cluster 2 = unit 9769 with pop 37102.0 now has use of 1.0213354895923927\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"defining and displaying current unit use after above manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "e9d50ef8-39b2-4e22-a11e-cabeda78721e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "savedHDunitList = [HDunitList[t].copy() for t in range(nHDs) ]  #safekeeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "b759b3c7-b8a3-4d2c-a8fe-50fa93b3e940",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#savedHDunitList = [HDunitList[t].copy() for t in range(nHDs) ]  #safekeeping\n",
    "HDunitList = [savedHDunitList[t].copy() for t in range(nHDs) ]   #restart\n",
    "HDvPop = [0 for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "plt.axvline(aDP, ls=\"--\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist],bins=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "551454fb-d57c-466f-8b31-39ccb2a728de",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are the HD centers for 135 cantFill HDs with border or big enclaves\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"here are the HD centers for\",len(cantFill),\"cantFill HDs with border or big enclaves\")\n",
    "for u in borderUnits:\n",
    "    plotPoly(unitGeom[u])\n",
    "for t in cantFill:\n",
    "    plotPoly(hdCP[t].buffer(0.02))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "5269a224-4a97-417c-99af-6a98df0087ae",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on avg unit-to-HDcp dist for HD 0\n",
      "working on avg unit-to-HDcp dist for HD 800\n",
      "working on avg unit-to-HDcp dist for HD 1602\n",
      "working on avg unit-to-HDcp dist for HD 2402\n",
      "working on avg unit-to-HDcp dist for HD 3203\n",
      "working on avg unit-to-HDcp dist for HD 4004\n",
      "working on avg unit-to-HDcp dist for HD 4806\n",
      "working on avg unit-to-HDcp dist for HD 5606\n",
      "working on avg unit-to-HDcp dist for HD 6406\n",
      "working on avg unit-to-HDcp dist for HD 7206\n",
      "working on avg unit-to-HDcp dist for HD 8006\n",
      "working on avg unit-to-HDcp dist for HD 8807\n",
      "all unit-toHDcp distances computed\n"
     ]
    }
   ],
   "source": [
    "barredJettisonSet = set([9776,9777,9778] )  #lock in the clusters  #UPDATE THIS FOR EACH STATE - see CCB report 3 blocks up\n",
    "avgDist = [0. for t in range(nHDs)]  #about 6sec per 1000 HDs\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%800 == 0:\n",
    "        print(\"working on avg unit-to-HDcp dist for HD\",t)\n",
    "    avgDist[t] =  np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "print(\"all unit-toHDcp distances computed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "6e2e44bd-a084-42f6-b533-5dc6d21912a9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this code will solve large enclaves so HD and complement are contiguous for 135 HDs\n",
      "working on HD 186 cantFill 0 of 135 .Time is now 0\n",
      "working on HD 1411 cantFill 20 of 135 .Time is now 0\n",
      "working on HD 8059 cantFill 40 of 135 .Time is now 1\n",
      "working on HD 219 cantFill 60 of 135 .Time is now 2\n",
      "working on HD 615 cantFill 80 of 135 .Time is now 3\n",
      "working on HD 1236 cantFill 100 of 135 .Time is now 4\n",
      "working on HD 3131 cantFill 120 of 135 .Time is now 5\n",
      "after the MustFree code run, we have the following for cluster usage\n",
      "current avg use and its sd are 1.00206 0.12295\n",
      "CCB cluster 0 = unit 9767 with pop 97574.0 now has use of 1.0197438897141793\n",
      "CCB cluster 1 = unit 9768 with pop 58240.0 now has use of 1.020225691913776\n",
      "CCB cluster 2 = unit 9769 with pop 37102.0 now has use of 0.9609678351055041\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#THIS IS THE MUSTFREE CODE - for high-pop HDs with map-border enclaves, can't fill; \n",
    "#  must jettison some inHD map-boundary units to connect the enclave to the larger complement\n",
    "#For each HD to be triaged, define the list(s) of contiguous enclave units that are on the map boundary, \n",
    "#  and the in-HD map-boundary segments.  ID which in-HD MBS's adjoin one vs. two enclaves.\n",
    "#     Fill all internal enclaves, and all boundary enclaves < 0.05 aDP.\n",
    "#   Then each loop, look for boundary enclaves that can be filled without overpopping.\n",
    "#     If none, pick the 1/2 has-1-boundary-enclave-neighbor that is least painful to jettison to free an enclave.\n",
    "#       (Jettison score based on pop-to-Free and distance from HDcP)\n",
    "#         Update HDpop, HDlist, and enclave & HD-boundary associations, then re-loop\n",
    "# Later, we will swell-fill to square up pop (w/ checkEnclave) biasing toward close-to-hdCP, underused\n",
    "borderSet = set(borderUnits)\n",
    "debug, debugPlot = False, False\n",
    "startTime = time.time()  #takes about 1.5sec per HD triage\n",
    "clusterJettisonBoost = 3.  #this discourages jettisoning of underused clusters\n",
    "print(\"this code will solve large enclaves so HD and complement are contiguous for\",len(cantFill),\"HDs\")\n",
    "nEnclavesPerHD = [0 for t in range(nHDs)]\n",
    "HDenclaveLists = [list() for t in range(nHDs)]\n",
    "for iii,t in enumerate(cantFill):\n",
    "    if iii %20 == 0:\n",
    "        print(\"working on HD\",t,\"cantFill\",iii,\"of\",len(cantFill),\".Time is now\",int(time.time() - startTime) )\n",
    "    shedUs = list()    \n",
    "    enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "    nEnclavesPerHD[t] = len(enclaveLists)\n",
    "    HDenclaveLists[t] = enclaveLists.copy()\n",
    "    if debug:\n",
    "        print(\"pre-adjust HDpop for HD\",t,\"is\",HDvPop[t],\"I found\",len(enclaveLists),\"TOTAL enclaves\")\n",
    "    internalEnclaves, edgeEnclaves, combinedEnclBorderList = list(), list(), list()\n",
    "    for jjj, eL in enumerate(enclaveLists.copy() ):\n",
    "        enclaveBorderList = list ( set(eL).intersection(borderSet) )\n",
    "        if debug:\n",
    "            print(\"In enclave\",jjj,\"I found\",len(enclaveBorderList),\"units that were enclaved and are in the map borderSet\")\n",
    "        combinedEnclBorderList += enclaveBorderList\n",
    "        ePop = np.sum( [unitPop[u] for u in eL] )\n",
    "        if len(enclaveBorderList) == 0 or ePop < 0.05 * aDP:  #internal or small enclave.  Fill it\n",
    "            if ePop > 0:  #in a prev treatment, could be an empty (surrounded) unit that we don't care about\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += ePop\n",
    "            internalEnclaves.append(eL)\n",
    "        else:\n",
    "            edgeEnclaves.append(eL)\n",
    "    if debug:\n",
    "        print(\"Of these\",len(internalEnclaves),\"were internal or small, so I filled them, leaving\",\n",
    "              len(edgeEnclaves),\"non-small border = edge enclaves\" )\n",
    "    if debugPlot:\n",
    "        print(\"Here is the original HD, internal enclaves ('x') and non-small border enclaves by enclave no\")\n",
    "        plotPoly(hdCP[t].buffer(0.3))\n",
    "        for u in HDunitList[t]:\n",
    "            if unitPop[u] > 0:\n",
    "                plotPoly(unitGeom[u],0.2)\n",
    "        for L in internalEnclaves:\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u],1.5)\n",
    "                    plotCenter(\"x\",unitCP[u],8)\n",
    "        for L in edgeEnclaves: #############\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u])\n",
    "                    #plotCenter(\"e\",unitCP[u],8)\n",
    "        #plotPoly(MAP,0.4)\n",
    "        #plt.show()\n",
    "    enclaveLists, combinedEnclBorderSet = list(), set(combinedEnclBorderList)\n",
    "    if len(edgeEnclaves) > 0:\n",
    "        # Now, we order by chain connectivity of HD and enclave sublists to be H0-E0-H1-E1 ... En-Hn+1\n",
    "        nonHDborderSet = borderSet.difference(  set(HDunitList[t]) )\n",
    "        nonHDlongBorderSet = nonHDborderSet.difference(combinedEnclBorderSet) #long=non HD boundary excluding enclaves\n",
    "        remainingEnclBorderSet = combinedEnclBorderSet.copy()\n",
    "        remainingHDborderSet =   borderSet.intersection(set(HDunitList[t]) )\n",
    "        #Now find the \"HDender\" unit which borders the non-enclave nonHD boundary, then find opp end of this HD bdry piece\n",
    "        HDender = list(set(getAdjoiners(nonHDlongBorderSet,unitNbrs)).intersection(remainingHDborderSet) )[0]\n",
    "        firstHDborderSet = getContigFromStarter(HDender,remainingHDborderSet,unitNbrs)\n",
    "        HDstarter = list(set(getAdjoiners(remainingEnclBorderSet,unitNbrs)).intersection(firstHDborderSet))[0]\n",
    "        HDborderSublists = [ list(firstHDborderSet) ]\n",
    "        unused = [1 for eL in edgeEnclaves]\n",
    "        eLadjoiners = [getAdjoiners(eL,unitNbrs) for eL in edgeEnclaves ]\n",
    "        for j in range(len(edgeEnclaves)): #find the enclave with the most HDstarter neighbors (at least 1)\n",
    "            found = False\n",
    "            for i,eL in enumerate(edgeEnclaves):\n",
    "                if unused[i] == 1:\n",
    "                    HDadjSet = set(HDborderSublists[j]).intersection(set(eLadjoiners[i]))\n",
    "                    if len(HDadjSet) > 0:\n",
    "                        unused[i] = 0\n",
    "                        eNo = i\n",
    "                        found = True\n",
    "                        remainingEnclBorderSet = remainingEnclBorderSet.difference(set(edgeEnclaves[eNo]) )\n",
    "                        enclaveLists.append(edgeEnclaves[eNo])\n",
    "                        remainingHDborderSet = remainingHDborderSet.difference(set(HDborderSublists[j]) )\n",
    "                        HDstarter = list(set(eLadjoiners[i]).intersection(remainingHDborderSet))[0]       \n",
    "                        HDborderSublists.append(getContigFromStarter(HDstarter,remainingHDborderSet,unitNbrs) )\n",
    "                        break\n",
    "                if found:\n",
    "                    break\n",
    "\n",
    "        enclavePops = [np.sum([unitPop[u] for u in L]) for L in enclaveLists]\n",
    "        #print(\"prior to adjustments, border enclavePops are\",enclavePops)         \n",
    "\n",
    "        nHDBS, nEnclaves = len(HDborderSublists), len(enclaveLists)\n",
    "        popToFree, freeingCounties, freeingUnits = [0. for n in range(nHDBS)], [list() for n in range(nHDBS) \n",
    "                                                                               ],[list() for n in range(nHDBS)]\n",
    "        for j,L in enumerate(HDborderSublists):\n",
    "            for u in L:\n",
    "                if int(allUnits[u]) == allUnits[u]:  #this border unit is a vtd\n",
    "                    c = countyNo[parentVTDno[allUnits[u]]]   #countyNo[allUnits[u]]\n",
    "                    if c not in freeingCounties[j]:\n",
    "                        if countyPop[c] < 0.1 * aDP:  #plan to add all in-county pop\n",
    "                            freeingCounties[j].append(c)\n",
    "                        else:\n",
    "                            popToFree[j] += unitPop[u]\n",
    "                            freeingUnits[j].append(u)\n",
    "                else: #border unit is a full county or cluster, or in a dense county.  Add the whole unit pop\n",
    "                    popToFree[j] += unitPop[u]\n",
    "                    freeingUnits[j].append(u)\n",
    "            for c in freeingCounties[j]:  #include ALL in-HD pop from each non-unit border county, not just its border units\n",
    "                #plotPoly(countyGeom[c],0.1)\n",
    "                for u in countyUnitList[c]:\n",
    "                    if u in HDunitList[t]:\n",
    "                        popToFree[j] += unitPop[u]\n",
    "                        freeingUnits[j].append(u)\n",
    "        freeingCP = [ getHDcp(  unitCP, unitPop, L) for L in freeingUnits ]\n",
    "        freeingScore = [ pTF/aDP - 0.5*freeingCP[j].distance(hdCP[t]) / avgDist[t] for j,pTF in enumerate(popToFree) ]\n",
    "        for j, fU in enumerate(freeingUnits):  #in above 0.5 is a fudgy\n",
    "            if len(barredJettisonSet.intersection(set(fU)) ) > 0: #has a cluster we want to hold onto\n",
    "                freeingScore[j] += clusterJettisonBoost #  ..so increase its score (make it harder to drop)\n",
    "        if debugPlot:\n",
    "            print(\"plotting the freeing units with negative numbers for each freeing group\")\n",
    "            for j,L in enumerate(freeingUnits):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        #plotPoly(unitGeom[u],0.5)\n",
    "                        plotCenter(\"-\"+str(j),unitGeom[u],6)\n",
    "                        pass\n",
    "            print(\"plotting the enclaveLists, with + numbers for each enclave\")\n",
    "            for j,L in enumerate(enclaveLists):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        plotPoly(unitGeom[u])\n",
    "                        plotCenter(j,unitCP[u],8)\n",
    "                        pass\n",
    "    \n",
    "    while len(enclaveLists) > 0:\n",
    "        if HDvPop[t] + np.min(enclavePops) < 1.05*aDP or np.min(enclavePops) < 0.05 * aDP:  #fill the smallest enclave\n",
    "            eNo = enclavePops.index(np.min(enclavePops))\n",
    "            HDunitList[t] += enclaveLists[eNo]\n",
    "            HDvPop[t] += enclavePops[eNo]\n",
    "            #print(t,\"=t. Absorbing enclave\",eNo,\"with pop\",enclavePops[eNo],\"HD total pop now\",int(HDfreePop[t]) )\n",
    "            enclaveBUs = list(set(enclaveLists[eNo]).intersection(set(borderUnits)) )\n",
    "            enclaveBpop = np.sum([unitPop[u] for u in enclaveBUs])\n",
    "            sNo, dropped_sNo = eNo, eNo+1\n",
    "            freeingScore[sNo] += freeingScore[sNo+1]+enclaveBpop/aDP\n",
    "            freeingUnits[sNo] += freeingUnits[sNo+1]+enclaveBUs\n",
    "            popToFree[sNo]    +=    popToFree[sNo+1]+enclaveBpop\n",
    "        else: #jettison one of the two end HD border lists; pick the less painful path to freedom\n",
    "            distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "            starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "            eNo, dropped_sNo = 0,0\n",
    "            if starterU not in freeingUnits[-1]:  #we can't drop the home unit, even to save an underused corner\n",
    "                if freeingScore[-1] < freeingScore[0] or starterU in freeingUnits[0]:\n",
    "                    eNo, dropped_sNo = len(enclaveLists)-1,len(enclaveLists)\n",
    "            barredIncluded0 = barredJettisonSet.intersection(set(freeingUnits[0]))\n",
    "            barredIncluded_1 = barredJettisonSet.intersection(set(freeingUnits[-1]))\n",
    "            #if len(barredIncluded0.union(barredIncluded_1)) > 0:\n",
    "            #    print(\"We are considering dropping an end unit to free from t\",t,\". Chosen, beg, end, scores are\")\n",
    "            #    print(dropped_sNo,barredIncluded0, barredIncluded_1, freeingScore[0], freeingScore[-1])\n",
    "            HDunitList[t] = list( set(HDunitList[t]).difference(set(freeingUnits[dropped_sNo]) ) )\n",
    "            HDvPop[t] -= popToFree[dropped_sNo]\n",
    "            #print(t,\"= t. Jettisoning HDborder\",dropped_sNo,\"with popToFree\",popToFree[dropped_sNo] )\n",
    "        del enclaveLists[eNo]\n",
    "        del enclavePops[eNo]\n",
    "        if debug:\n",
    "            print(t,\"= t. Now we have\",len(enclaveLists),\"left trapped.  Picked eNo, freeScores were\", eNo,freeingScore)\n",
    "        del freeingScore[dropped_sNo]\n",
    "        del freeingUnits[dropped_sNo]\n",
    "        del popToFree   [dropped_sNo] \n",
    "\n",
    "    #plotPoly(MAP,0.4)\n",
    "    if debugPlot:\n",
    "        plt.show()    \n",
    "        \n",
    "unitUse = [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t]*nDistricts\n",
    "print(\"after the MustFree code run, we have the following for cluster usage\")\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "ca9ce3cb-c150-4f39-ae55-f781d39d7f57",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "postMustFreeUnitList = [HDunitList[t].copy() for t in range(nHDs)] #safekeeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "c32dd108-073b-48aa-99ce-fea50c8d023c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist([HDvPop[t] for t in popHDlist] )\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "f58fe2d0-3c62-412f-8984-ff5d67ea9b10",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After above work, re-classification of contiguity problems?\n",
      "working on HD 0\n",
      "working on HD 500\n",
      "working on HD 1000\n",
      "working on HD 1500\n",
      "working on HD 2000\n",
      "working on HD 2500\n",
      "working on HD 3000\n",
      "working on HD 3500\n",
      "working on HD 4000\n",
      "working on HD 4500\n",
      "working on HD 5000\n",
      "working on HD 5500\n",
      "working on HD 6000\n",
      "working on HD 6500\n",
      "working on HD 7000\n",
      "working on HD 7500\n",
      "working on HD 8000\n",
      "working on HD 8500\n",
      "out of 8934 total HDs, there were 8609 25 0 300 HDs that were clean, discontig only, enclave-only, both problems after triage\n"
     ]
    }
   ],
   "source": [
    "#THIS is the FINDSTILLBROKEN code\n",
    "print(\"After above work, re-classification of contiguity problems?\")\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "for t in popHDlist:\n",
    "    if t%500 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "1ef683a2-4429-4a91-b1ea-a9b0950dea22",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on current HD diam for HD number 0\n",
      "working on current HD diam for HD number 800\n",
      "working on current HD diam for HD number 1602\n",
      "working on current HD diam for HD number 2402\n",
      "working on current HD diam for HD number 3203\n",
      "working on current HD diam for HD number 4004\n",
      "working on current HD diam for HD number 4806\n",
      "working on current HD diam for HD number 5606\n",
      "working on current HD diam for HD number 6406\n",
      "working on current HD diam for HD number 7206\n",
      "working on current HD diam for HD number 8006\n",
      "working on current HD diam for HD number 8807\n",
      "here is the histogram of HD diameter = sqrt(area)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "HDdiam = [0. for t in range(nHDs)]\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%800 == 0:\n",
    "        print(\"working on current HD diam for HD number\",t)\n",
    "    HDdiam[t] = (HDpoly[t].intersection(MAP) ).area ** 0.5\n",
    "plt.hist([HDdiam[t] for t in popHDlist])\n",
    "print(\"here is the histogram of HD diameter = sqrt(area)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "35741360-ef89-4287-af72-961f1eab32c6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hi\n"
     ]
    }
   ],
   "source": [
    "print(\"hi\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "45e3c17c-8c16-4bc5-b7fc-25b9250ed11a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here, we will regrow all disco'd HDs off by more than 39331 but less than 196657\n",
      "... from the contiguous block that contains the hdCP (not full regrowth).  We will swell out, avoiding enclaves\n",
      "This is a total of 325 HDs to triage in this block\n",
      "working on swell-filling discontig HD 187 our 1 th HD we think we can swell out of 325 0.002 sec elapsed\n",
      "working on swell-filling discontig HD 745 our 41 th HD we think we can swell out of 325 262.308 sec elapsed\n",
      "working on swell-filling discontig HD 1049 our 81 th HD we think we can swell out of 325 526.336 sec elapsed\n",
      "working on swell-filling discontig HD 2426 our 121 th HD we think we can swell out of 325 739.266 sec elapsed\n",
      "working on swell-filling discontig HD 3805 our 161 th HD we think we can swell out of 325 867.485 sec elapsed\n",
      "working on swell-filling discontig HD 3965 our 201 th HD we think we can swell out of 325 959.684 sec elapsed\n",
      "working on swell-filling discontig HD 4438 our 241 th HD we think we can swell out of 325 1134.095 sec elapsed\n",
      "working on swell-filling discontig HD 4795 our 281 th HD we think we can swell out of 325 1247.522 sec elapsed\n",
      "working on swell-filling discontig HD 5835 our 321 th HD we think we can swell out of 325 1552.203 sec elapsed\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[127], line 39\u001b[0m\n\u001b[0;32m     37\u001b[0m listNo \u001b[38;5;241m=\u001b[39m idx[i]   \u001b[38;5;66;03m#nearHDscore.index(np.min(nearHDscore))\u001b[39;00m\n\u001b[0;32m     38\u001b[0m unitNoToAdd \u001b[38;5;241m=\u001b[39m nearHDlist[listNo]  \u001b[38;5;66;03m#add this unit ...\u001b[39;00m\n\u001b[1;32m---> 39\u001b[0m canAdd  \u001b[38;5;241m=\u001b[39m \u001b[43mwontEnclave\u001b[49m\u001b[43m(\u001b[49m\u001b[43munitNoToAdd\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcurrList\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43munitNbrs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mborderUnits\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m     40\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m canAdd:\n\u001b[0;32m     41\u001b[0m     notYetPicked \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n",
      "Cell \u001b[1;32mIn[111], line 809\u001b[0m, in \u001b[0;36mwontEnclave\u001b[1;34m(proposedU, dList, NBRLIST, mapBDRYLIST)\u001b[0m\n\u001b[0;32m    807\u001b[0m                 adjSet \u001b[38;5;241m=\u001b[39m adjSet\u001b[38;5;241m.\u001b[39munion( \u001b[38;5;28mset\u001b[39m(NBRLIST[UU])\u001b[38;5;241m.\u001b[39mdifference(\u001b[38;5;28mset\u001b[39m(newList)) )\n\u001b[0;32m    808\u001b[0m             ADJLIST \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(adjSet)\n\u001b[1;32m--> 809\u001b[0m             wontEnclave, __ \u001b[38;5;241m=\u001b[39m   \u001b[43misContiguous\u001b[49m\u001b[43m(\u001b[49m\u001b[43mADJLIST\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mNBRLIST\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    811\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m wontEnclave\n",
      "Cell \u001b[1;32mIn[111], line -1\u001b[0m, in \u001b[0;36misContiguous\u001b[1;34m(VLIST, NEIGHBORLIST, returnBiggestPiece)\u001b[0m\n\u001b[0;32m      0\u001b[0m <Error retrieving source code with stack_data see ipython/ipython#13598>\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "### THIS IS THE CANSWELL CODE\n",
    "print(\"Here, we will regrow all disco'd HDs off by more than\",int(aDP-minPostFixPop),\"but less than\",int(0.25*aDP) )\n",
    "print(\"... from the contiguous block that contains the hdCP (not full regrowth).  We will swell out, avoiding enclaves\")\n",
    "HDnAddedUnits = [0 for t in range(nHDs)]\n",
    "maxGap = 0.9 * np.median(unitPop)  #set a reasonable gap prior to picking the last block\n",
    "HDdiam = [HDpoly[t].area ** 0.5 for t in range(nHDs) ] #in case not defined before\n",
    "badDiscoList = list()\n",
    "nCanSwell = 0\n",
    "triageList = discontigOnly + bothProblems\n",
    "print(\"This is a total of\",len(triageList),\"HDs to triage in this block\")\n",
    "startTime = time.time()\n",
    " \n",
    "for i,t in enumerate(triageList): #canSwell\n",
    "    if i%40 == 0:\n",
    "        SEC = r3(time.time()-startTime)\n",
    "        print(\"working on swell-filling discontig HD\",t,\"our\",i+1,\"th HD we think we can swell out of\",len(triageList),SEC,\"sec elapsed\" )\n",
    "    distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "    starterU = HDunitList[t][distList.index(np.min(distList))]  #starter = unit with centroid closest to the hd center\n",
    "    contigUs = getContigFromStarter(starterU, HDunitList[t], unitNbrs)\n",
    "    contigPop = np.sum( [ unitPop[u] for u in contigUs ] )\n",
    "    if contigPop < 0.50 * aDP or contigPop > 2.*aDP - minPostFixPop:  #formerly < 0.75 aDP\n",
    "        badDiscoList.append(t)\n",
    "    else: #rebuild from this big piece\n",
    "        nCanSwell +=1\n",
    "        gap = aDP - contigPop\n",
    "        origGap = gap\n",
    "        currList, addedList = contigUs.copy(), list()\n",
    "        adjoiners = getAdjoiners(currList, unitNbrs)\n",
    "        nearHDlist = [uu for uu in adjoiners]  #bias toward underused, close to HD (and its center)\n",
    "        nearHDscore = [ (unitUse[uu] - 1.) + 0.5*(unitCP[uu].distance(\n",
    "            HDpoly[t]) + unitCP[uu].distance(hdCP[t]) ) / HDdiam[t] for uu in adjoiners ] \n",
    "        stillGoing = True\n",
    "\n",
    "        while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "            idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "            while i < len(nearHDscore) and notYetPicked:        \n",
    "                listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "                unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "                canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "                if canAdd:\n",
    "                    notYetPicked = False\n",
    "                else:\n",
    "                    i +=1\n",
    "            if notYetPicked:\n",
    "                stillGoing = False  #can't add any more units without creating an enclave\n",
    "            else: #we selected the best unit to add legally\n",
    "                gap -= unitPop[unitNoToAdd]\n",
    "                addedList.append(unitNoToAdd)  #so add it to our growing HD ...\n",
    "                currList.append( unitNoToAdd)\n",
    "                for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                    if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                        nearHDlist.append(uu)\n",
    "                        nearHDscore.append((unitUse[uu] - 1.) + 0.5*(unitCP[uu].distance(\n",
    "                            HDpoly[t]) + unitCP[uu].distance(hdCP[t]) ) / HDdiam[t] )\n",
    "                del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "                del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "                for i, uu in enumerate(nearHDlist.copy()):\n",
    "                    if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                        del nearHDscore[nearHDlist.index(uu)]\n",
    "                        del nearHDlist[ nearHDlist.index(uu)]\n",
    "        for u in addedList:\n",
    "            unitUse[u] += HDweight[t] * nDistricts\n",
    "        for u in list( set(HDunitList[t]).difference(set(contigUs)) ):\n",
    "            unitUse[u] -= HDweight[t] * nDistricts       \n",
    "        HDunitList[t] = contigUs + addedList\n",
    "        HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "        HDnAddedUnits[t] = len(addedList)\n",
    "    \n",
    "badDiscoList += enclaveOnly\n",
    "print(\"we partially regrew\",nCanSwell,\"HDs, leaving\",len(badDiscoList),\"to regrow from scratch\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "f57325dd-523c-466a-80cb-8e10b739b4ac",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previous avg use and its sd are 1.00206 0.12295\n",
      "defining and displaying current unit use after above manipulations; compare to original farther above.\n",
      "current avg use and its sd are 1.00014 0.12031\n",
      "CCB cluster 0 = unit 9767 with pop 97574.0 now has use of 0.9983844159489691\n",
      "CCB cluster 1 = unit 9768 with pop 58240.0 now has use of 0.9669198084521081\n",
      "CCB cluster 2 = unit 9769 with pop 37102.0 now has use of 0.9649722597192646\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"previous avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "print(\"defining and displaying current unit use after above manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "0ce918e1-0d30-4930-9fb8-0769d793683c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "quick classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 1001 time is now 39\n",
      "working on HD 2002 time is now 71\n",
      "working on HD 3003 time is now 107\n",
      "working on HD 4004 time is now 135\n",
      "working on HD 5006 time is now 167\n",
      "working on HD 6006 time is now 204\n",
      "working on HD 7006 time is now 239\n",
      "working on HD 8006 time is now 275\n",
      "out of 8934 total HDs, there were 8869.0 contiguous and 8788.0 complement-contiguous HDs\n",
      "59 HDs had both discontiguity problems, while enclave-only = 87 and discontig only= 6\n",
      "here are the histograms of the small piece and enclave list lengths, total no = 65 87\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And here are the small-HD-piece and small-enclave pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#THIS is the FINDSTILLBROKEN code\n",
    "print(\"quick classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%1000 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )\n",
    "\n",
    "print(\"here are the histograms of the small piece and enclave list lengths, total no =\",\n",
    "      len(smallPieceLists),len(enclaveLists) )\n",
    "plt.hist([s for s in smallPieceLengths],label=\"small piece l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.hist([e for e in enclaveLengths],label=\"enclave l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(\"And here are the small-HD-piece and small-enclave pops\")\n",
    "plt.hist([sum(unitPop[u] for u in s) for s in smallPieceLists],label=\"small piece 1 pop\",histtype='step')\n",
    "plt.hist([sum(unitPop[u] for u in e) for e in enclaveLists],label=\"enclave 1 pop\",histtype='step')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "463db75a-694e-4c7d-9693-e10f3b4d65db",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Before addressing enclaves, let's triage the discontinuous HDs\n",
      "Now work on dropping smallish disconnected pieces that would keep us above 747298 district pop vs 786629 target\n",
      "we'll also trim any HD with total islands' pop <= 15732\n",
      "working on HD 752\n",
      "Out of 65 discontig HDs 65 had discontig HDs.\n",
      "Of these, 0 won't be under 747298 after all minor discontigys were shed, while 65 would be too underpopped if we trimmed the discontig pieces\n",
      "here is adjusted pop by original pop for those we trimmed and those we didn't (x)\n"
     ]
    },
    {
     "data": {
      "image/png": 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IQGxsLHJyclT7KS4uRlJSEoxGI/z9/ZGSkoKrV6+qao4cOYL+/fvDy8sLoaGhSEtLq9OfjIwMREZGwsvLC1FRUdi6dauqXUQwe/ZsdOrUCd7e3oiNjcXJkyddGTIRERG1YS4FoQULFmDZsmVYsmQJ8vPzsWDBAqSlpWHx4sVKTa9evbBkyRIcPXoUu3fvRteuXTFo0CD88MMPSk1SUhKOHTuGzMxMbN68Gbt27cL48eOVdrvdjkGDBqFLly7Izc3FwoULMXfuXCxfvlyp2bt3LxITE5GSkoKDBw9i2LBhGDZsGPLy8pSatLQ0vP3223j33XeRk5MDX19fxMXFoays7I5+WURERNTGiAsSEhIkOTlZtW348OGSlJTU4GtsNpsAkB07doiIyPHjxwWA7N+/X6nZtm2b6HQ6uXDhgoiILF26VAICAqS8vFypmT59ukRERCjPR44cKQkJCar3io6OlgkTJoiIiMPhELPZLAsXLlTarVarGAwGWbduXaPGW9V3m83WqHoiIiJqfq58f7t0RKhv377IysrCiRMnAACHDx/G7t27ER8fX2/9jRs3sHz5cphMJjz44IMAgOzsbPj7+6NPnz5KXWxsLNzc3JRTaNnZ2RgwYAD0er1SExcXh4KCAly5ckWpiY2NVb1fXFwcsrOzAQCFhYWwWCyqGpPJhOjoaKWmtvLyctjtdtWDiIiI2i4PV4pnzJgBu92OyMhIuLu7o7KyEq+++iqSkpJUdZs3b8aoUaNw/fp1dOrUCZmZmejYsSMAwGKxIDAwUN0JDw+0b98eFotFqQkPD1fVBAUFKW0BAQGwWCzKtpo1NfdR83X11dSWmpqKV155pdG/DyIiImrdXDoilJ6ejg8//BAfffQRDhw4gDVr1mDRokVYs2aNqu43v/kNDh06hL1792Lw4MEYOXIkLl26dFc7fi/MnDkTNptNeZw7d665u0RERET3kEtBaOrUqZgxYwZGjRqFqKgojB49GpMnT0ZqaqqqztfXFz169MDjjz+OFStWwMPDAytWrAAAmM3mOqHo5s2bKC4uhtlsVmqKiopUNVXPb1dTs73m6+qrqc1gMMBoNKoeRERE1Ha5FISuX78ONzf1S9zd3eFwOG75OofDgfLycgBATEwMrFYrcnNzlfadO3fC4XAgOjpaqdm1axcqKiqUmszMTERERCAgIECpycrKUr1PZmYmYmJiAADh4eEwm82qGrvdjpycHKWGiIiINM6VWdhjxoyRkJAQ2bx5sxQWFsrGjRulY8eOMm3aNBERuXr1qsycOVOys7Pl9OnT8s0338i4cePEYDBIXl6esp/BgwfLww8/LDk5ObJ7927p2bOnJCYmKu1Wq1WCgoJk9OjRkpeXJ+vXrxcfHx957733lJo9e/aIh4eHLFq0SPLz82XOnDni6ekpR48eVWrmz58v/v7+8umnn8qRI0dk6NChEh4eLqWlpY0aL1eNERERtT6ufH+7FITsdrtMmjRJwsLCxMvLS7p16yYvvfSSssy9tLRUnnjiCQkODha9Xi+dOnWSIUOGyL59+1T7uXz5siQmJoqfn58YjUYZN26clJSUqGoOHz4s/fr1E4PBICEhITJ//vw6/UlPT5devXqJXq+X3r17y5YtW1TtDodDZs2aJUFBQWIwGGTgwIFSUFDQ6PEyCBEREbU+rnx/60RqXBaaVOx2O0wmE2w2G+cLERERtRKufH/zXmNERESkWQxCREREpFkMQkRERKRZDEJERESkWQxCREREpFkMQkRERKRZDEJERESkWQxCREREpFkMQkRERKRZDEJERESkWQxCREREpFkMQkRERKRZDEJERESkWQxCREREpFkMQkRERKRZDEJERESkWQxCREREpFkMQkRERKRZDEJERESkWQxCREREpFkMQkRERKRZDEJERESkWQxCREREpFkMQkRERKRZDEJERESkWQxCREREpFkMQkRERKRZDEJERESkWQxCREREpFkMQkRERKRZLgWhyspKzJo1C+Hh4fD29kb37t0xb948iAgAoKKiAtOnT0dUVBR8fX0RHByMp59+Gt9//71qP8XFxUhKSoLRaIS/vz9SUlJw9epVVc2RI0fQv39/eHl5ITQ0FGlpaXX6k5GRgcjISHh5eSEqKgpbt25VtYsIZs+ejU6dOsHb2xuxsbE4efKkK0MmIiKiNsylILRgwQIsW7YMS5YsQX5+PhYsWIC0tDQsXrwYAHD9+nUcOHAAs2bNwoEDB7Bx40YUFBRgyJAhqv0kJSXh2LFjyMzMxObNm7Fr1y6MHz9eabfb7Rg0aBC6dOmC3NxcLFy4EHPnzsXy5cuVmr179yIxMREpKSk4ePAghg0bhmHDhiEvL0+pSUtLw9tvv413330XOTk58PX1RVxcHMrKyu7ol0VERERtjLggISFBkpOTVduGDx8uSUlJDb5m3759AkDOnDkjIiLHjx8XALJ//36lZtu2baLT6eTChQsiIrJ06VIJCAiQ8vJypWb69OkSERGhPB85cqQkJCSo3is6OlomTJggIiIOh0PMZrMsXLhQabdarWIwGGTdunWNGq/NZhMAYrPZGlVPREREzc+V72+Xjgj17dsXWVlZOHHiBADg8OHD2L17N+Lj4xt8jc1mg06ng7+/PwAgOzsb/v7+6NOnj1ITGxsLNzc35OTkKDUDBgyAXq9XauLi4lBQUIArV64oNbGxsar3iouLQ3Z2NgCgsLAQFotFVWMymRAdHa3U1FZeXg673a56EBERUdvl4UrxjBkzYLfbERkZCXd3d1RWVuLVV19FUlJSvfVlZWWYPn06EhMTYTQaAQAWiwWBgYHqTnh4oH379rBYLEpNeHi4qiYoKEhpCwgIgMViUbbVrKm5j5qvq6+mttTUVLzyyiu3/T0QERFR2+DSEaH09HR8+OGH+Oijj3DgwAGsWbMGixYtwpo1a+rUVlRUYOTIkRARLFu27K51+F6aOXMmbDab8jh37lxzd4mIiIjuIZeOCE2dOhUzZszAqFGjAABRUVE4c+YMUlNTMWbMGKWuKgSdOXMGO3fuVI4GAYDZbMalS5dU+7158yaKi4thNpuVmqKiIlVN1fPb1dRsr9rWqVMnVc1DDz1U7/gMBgMMBkPjfhlERETU6rl0ROj69etwc1O/xN3dHQ6HQ3leFYJOnjyJHTt2oEOHDqr6mJgYWK1W5ObmKtt27twJh8OB6OhopWbXrl2oqKhQajIzMxEREYGAgAClJisrS7XvzMxMxMTEAADCw8NhNptVNXa7HTk5OUoNERERaZwrs7DHjBkjISEhsnnzZiksLJSNGzdKx44dZdq0aSIicuPGDRkyZIh07txZDh06JBcvXlQeNVeADR48WB5++GHJycmR3bt3S8+ePSUxMVFpt1qtEhQUJKNHj5a8vDxZv369+Pj4yHvvvafU7NmzRzw8PGTRokWSn58vc+bMEU9PTzl69KhSM3/+fPH395dPP/1Ujhw5IkOHDpXw8HApLS1t1Hi5aoyIiKj1ceX726UgZLfbZdKkSRIWFiZeXl7SrVs3eemll5SQU1hYKADqfXzxxRfKfi5fviyJiYni5+cnRqNRxo0bJyUlJar3Onz4sPTr108MBoOEhITI/Pnz6/QnPT1devXqJXq9Xnr37i1btmxRtTscDpk1a5YEBQWJwWCQgQMHSkFBQaPHyyBERETU+rjy/a0T+emy0FSH3W6HyWSCzWZTzXMiIiKilsuV72/ea4yIiIg0i0GIiIiINItBiIiIiDSLQYiIiIg0i0GIiIiINItBiIiIiDSLQYiIiIg0i0GIiIiINItBiIiIiDSLQYiIiIg0i0GIiIiINItBiIiIiDSLQYiIiIg0i0GIiIiINItBiIiIiDSLQYiIiIg0i0GIiIiINItBiIiIiDSLQYiIiIg0i0GIiIiINItBiIiIiDSLQYiIiIg0i0GIiIiINItBiIiIiDSLQYiIiIg0i0GIiIiINItBiIiIiDSLQYiIiIg0i0GIiIiINItBiIhIi8psgO1C/W22C852Ig1wKQhVVlZi1qxZCA8Ph7e3N7p374558+ZBRJSajRs3YtCgQejQoQN0Oh0OHTpUZz9lZWWYOHEiOnToAD8/P4wYMQJFRUWqmrNnzyIhIQE+Pj4IDAzE1KlTcfPmTVXNl19+iUceeQQGgwE9evTA6tWr67zXO++8g65du8LLywvR0dHYt2+fK0MmImp7ymzA2hHA6t8BtvPqNtt55/a1IxiGSBNcCkILFizAsmXLsGTJEuTn52PBggVIS0vD4sWLlZpr166hX79+WLBgQYP7mTx5Mv7xj38gIyMD//rXv/D9999j+PDhSntlZSUSEhJw48YN7N27F2vWrMHq1asxe/ZspaawsBAJCQn4zW9+g0OHDuGFF17AM888g+3btys1GzZswJQpUzBnzhwcOHAADz74IOLi4nDp0iVXhk1E1LaUXwWu/QBcOQ2sTqgOQ7bzzudXTjvby682Zy+Jmoa4ICEhQZKTk1Xbhg8fLklJSXVqCwsLBYAcPHhQtd1qtYqnp6dkZGQo2/Lz8wWAZGdni4jI1q1bxc3NTSwWi1KzbNkyMRqNUl5eLiIi06ZNk969e6v2/dRTT0lcXJzy/LHHHpOJEycqzysrKyU4OFhSU1MbNV6bzSYAxGazNaqeiKjVsJ4TefMBkTlG588zX6ufW881dw+J7pgr398uHRHq27cvsrKycOLECQDA4cOHsXv3bsTHxzd6H7m5uaioqEBsbKyyLTIyEmFhYcjOzgYAZGdnIyoqCkFBQUpNXFwc7HY7jh07ptTU3EdVTdU+bty4gdzcXFWNm5sbYmNjlZraysvLYbfbVQ8iojbJ1BkYuwUI6Oo8ArRykPNnQFfndlPn5u0fURNxKQjNmDEDo0aNQmRkJDw9PfHwww/jhRdeQFJSUqP3YbFYoNfr4e/vr9oeFBQEi8Wi1NQMQVXtVW23qrHb7SgtLcWPP/6IysrKemuq9lFbamoqTCaT8ggNDW30uIiIWrzaE6RNnYEnlqtrnljOEESa4lIQSk9Px4cffoiPPvoIBw4cwJo1a7Bo0SKsWbPmXvWvSc2cORM2m015nDt3rrm7RER0d9Q3Qdp2HvhkvLpu4zN1J1ATtWEerhRPnTpVOSoEAFFRUThz5gxSU1MxZsyYRu3DbDbjxo0bsFqtqqNCRUVFMJvNSk3t1V1Vq8pq1tReaVZUVASj0Qhvb2+4u7vD3d293pqqfdRmMBhgMBgaNQ4iolal9gTpEX8HPn7G+dzNA3DcdP60nnW28/QYaYRLR4SuX78ONzf1S9zd3eFwOBq9j0cffRSenp7IyspSthUUFODs2bOIiYkBAMTExODo0aOq1V2ZmZkwGo24//77lZqa+6iqqdqHXq/Ho48+qqpxOBzIyspSaoiINMMUUmtO0GB1CAroCiR/Xt2+OqHh6wwRtSEuHRH6/e9/j1dffRVhYWHo3bs3Dh48iNdffx3JyclKTXFxMc6ePYvvv/8egDPkAM4jOGazGSaTCSkpKZgyZQrat28Po9GI//qv/0JMTAwef/xxAMCgQYNw//33Y/To0UhLS4PFYsHLL7+MiRMnKkdsnnvuOSxZsgTTpk1DcnIydu7cifT0dGzZskXpy5QpUzBmzBj06dMHjz32GN58801cu3YN48aN+3m/NSKi1qhqgvSqeOeRH6A6BFUdARq7xRmCfO8DDH7N2l2iJuHKcjS73S6TJk2SsLAw8fLykm7duslLL72kLGkXEVm1apUAqPOYM2eOUlNaWip//vOfJSAgQHx8fOSJJ56Qixcvqt7r9OnTEh8fL97e3tKxY0d58cUXpaKiQlXzxRdfyEMPPSR6vV66desmq1atqtPnxYsXS1hYmOj1ennsscfk66+/bvR4uXyeiNqkM187l8lXPc7U+ly0nhcptTZP34juAle+v3UiNS4LTSp2ux0mkwk2mw1Go7G5u0NE9PPVvGhiFS6ZpzbGle9v3muMiEgraoaggK5A8j9rzQniajHSHgYhIiItsF1Qh6CxW4CwaPUEak6QJg1iECIi0gKDn3MCdO3TYDWvMM0J0qRBLq0aIyKiFq7M5rxmkClEvd3LBAxZ4vzv2nOBTJ2BsVudIcjL1DT9JGoheESIiKitqO/q0VVs54F1TwGfPe+sq80UwhBEmsQgRETUVtS+enTNW2lUzQ+69oOzjogAMAgREbUNVUd5ak9+PptTfRVpZX5QSMP7IdIYBiEiotau5ikxoNatNAYBtnOAuwFIXM9rBRHVwiBERNTa1T4lBgBPLFfX+AQABl4Ylqg2rhojImrtqm6oWjUPaGUc4KhU17h5wnnHIyKqiUeEiIjagqrrAZk6OydHl1x0bm9nBkyhztNjvHo0UR0MQkREbYau7pGgJz8Akj/n1aOJGsAgRETUVpTbgevF6m2fjHf+5NWjierFIERE1BbYzgPrRgGV5c7TY7VvqAo4rx79x4954USiGhiEiIhau9o3VE3eXv8NVQGGIKJaGISIiFo73lCV6I5x+TwRUWvnZXKe8qrvZqu8oSrRLTEIERG1BV6mhoMOb6lB1CCeGiMiIiLNYhAiIiIizWIQIiIiIs1iECIiIiLNYhAiIiIizWIQIiIiIs1iECIiaonKbA3fHNV2wdlORD8bgxARUUtTZgPWjgBW/855D7GabOed29eOYBgiugsYhIiIWpryq8C1H6rvEVYVhmznq+8pdu0HZx0R/SwMQkRELY0ppO4NU8/mqG+sOnYLrxhNdBcwCBERtRQ15wXVvGHqldPAykG1QlDn5usnURvCIERE1BLUNy/I1Bl4Yrm6LuF1hiCiu8ilIFRZWYlZs2YhPDwc3t7e6N69O+bNmwcRUWpEBLNnz0anTp3g7e2N2NhYnDx5UrWf4uJiJCUlwWg0wt/fHykpKbh6VX2u+8iRI+jfvz+8vLwQGhqKtLS0Ov3JyMhAZGQkvLy8EBUVha1bt6raG9MXIqIWob55QbbzwMcp6rp/TKo7gZqI7phLQWjBggVYtmwZlixZgvz8fCxYsABpaWlYvHixUpOWloa3334b7777LnJycuDr64u4uDiUlZUpNUlJSTh27BgyMzOxefNm7Nq1C+PHj1fa7XY7Bg0ahC5duiA3NxcLFy7E3LlzsXx59b+M9u7di8TERKSkpODgwYMYNmwYhg0bhry8PJf6QkTUItSeF7QyDvh7LGA752xvZwZMoc7nNSdQE9HPIy5ISEiQ5ORk1bbhw4dLUlKSiIg4HA4xm82ycOFCpd1qtYrBYJB169aJiMjx48cFgOzfv1+p2bZtm+h0Orlw4YKIiCxdulQCAgKkvLxcqZk+fbpEREQoz0eOHCkJCQmqvkRHR8uECRMa3ZfbsdlsAkBsNluj6omIfjbrOZHX7xeZY6x+vH6/c7v1nMibDzi3vfmAiPV8c/eWqEVy5fvbpSNCffv2RVZWFk6cOAEAOHz4MHbv3o34+HgAQGFhISwWC2JjY5XXmEwmREdHIzs7GwCQnZ0Nf39/9OnTR6mJjY2Fm5sbcnJylJoBAwZAr9crNXFxcSgoKMCVK1eUmprvU1VT9T6N6Utt5eXlsNvtqgcRUZMydQZ+v1i9bcRK5/aaE6h97wMMfs3SRaK2xMOV4hkzZsButyMyMhLu7u6orKzEq6++iqSkJACAxWIBAAQFBaleFxQUpLRZLBYEBgaqO+Hhgfbt26tqwsPD6+yjqi0gIAAWi+W273O7vtSWmpqKV155pRG/CSKie8R2HtgyWb3tk/HVK8VMnYGxW50hyMvUPH0kakNcOiKUnp6ODz/8EB999BEOHDiANWvWYNGiRVizZs296l+TmjlzJmw2m/I4d+5cc3eJiLSk5gUTA7oCyf9UX0tIWU0WwhBEdJe4FISmTp2KGTNmYNSoUYiKisLo0aMxefJkpKamAgDMZjMAoKioSPW6oqIipc1sNuPSpUuq9ps3b6K4uFhVU98+ar5HQzU122/Xl9oMBgOMRqPqQUTUJGwX6l4wMSy67oUVG7r/GBHdEZeC0PXr1+Hmpn6Ju7s7HA4HACA8PBxmsxlZWVlKu91uR05ODmJiYgAAMTExsFqtyM3NVWp27twJh8OB6OhopWbXrl2oqKhQajIzMxEREYGAgAClpub7VNVUvU9j+kJE1OQaupmqwQ8wmAD/MPUFEzkviOjecmUW9pgxYyQkJEQ2b94shYWFsnHjRunYsaNMmzZNqZk/f774+/vLp59+KkeOHJGhQ4dKeHi4lJaWKjWDBw+Whx9+WHJycmT37t3Ss2dPSUxMVNqtVqsEBQXJ6NGjJS8vT9avXy8+Pj7y3nvvKTV79uwRDw8PWbRokeTn58ucOXPE09NTjh496lJfboWrxojoriq1irw/8KcVX+fUbdZzIm/8h8i7/Z11tVnP17+diOpw5fvbpSBkt9tl0qRJEhYWJl5eXtKtWzd56aWXVMvcHQ6HzJo1S4KCgsRgMMjAgQOloKBAtZ/Lly9LYmKi+Pn5idFolHHjxklJSYmq5vDhw9KvXz8xGAwSEhIi8+fPr9Of9PR06dWrl+j1eundu7ds2bJF1d6YvtwKgxAR3VXW87WWv/8UhrgsnuiucuX7WydS47LQpGK322EymWCz2ThfiIh+njLbT3eLF/VcoCeWAx8nOydC8z5iRHeFK9/fvNcYEdG9VvM+YkDdm6nazgPuBiBxPUMQURNjECIiutdq30cMqHszVZ/2gIFHnomamksXVCQiojtQdR+xqlNiKwcDjgp1jZs7AM5UIGpqPCJERNQUqpbBV904teSnK9y36+Rsq7qYIm+mStSkGISIiO6VOtcM0tU9EvTkGiB5Oy+aSNRMGISIiO6FmhOkq47ylNuB61fUdRufcf7kRROJmgWDEBHRvVB7gvT5/cC6UUBl+U/zgQC4eQDWs9UTqMduBf74Me8jRtSEGISIiO6FqgnSyjL5wc6fbh6Ao/Knm6p+rj4lBjAEETUxBiEiorup5rygqgnS/mGA46Zzm+Nm9YUTO/+Sp8SImhmDEBHR3VJmAz4YWn2RRMAZhob/XV2X8Hqtm6rylBhRc2EQIiK6W+wXgaLjzhC0Ms7503Ye+DhFXffZf6mXyZtCGIKImgmDEBHR3VBmA25cA/wCnc9t54G/DwT+Huu8blAVN3fAfoHXDCJqIRiEiIh+rqql8h8nA0+ucl40EXBeNLHkYnWdMYTXDCJqYRiEiIh+rppL5T9+xhmG/ILUNTp3YOQHnCBN1MLwXmNERD9X7XuJZYyrewVpn/ZAO/NP9T9NkDb4cW4QUTPjESEioruh9r3Erher26/9UD2BGuAEaaIWgkGIiOiu0QE3y9SbEt6onjOkrCbjvCCiloJBiIjobrl8ynnkp6a9b6knUF/9ASgvafq+EVG9GISIiFxV567ycB7t+ex553/r3ICRa6tXh1VNoDaFAkG9AWOnpu4xETWAQYiIyBX13VXe9tN1gaxnnfcSuy8C6DZAfa+xj58BnlwDPL2Jc4OIWhAGISIiV9S+q7ztvHP1l8H40w1VbwIVpc66qgnUVUvlO/ZgCCJqYRiEiIhcUfuu8qsTgEvfAmVW9Q1VTSE/1fNeYkQtGYMQEVFjVc0Nqnmk58pp501WrWedd5kfu6X6hqpVuFSeqMViECIiaozac4NMnYEnlqtrPH0AQ7vm6R8R3REGISKixqg9N+j8fuCT8eqay6eAH082S/eI6M4wCBERNUbtuUErBzt/uv10p6KqidIfp/Cu8kStCIMQEVFDal8vyNQZGLGiOvQA1ROkkz/nXeWJWiEGISKi+tR3vSAA6NjTGXhqemI57ypP1EoxCBER1ae+6wUBwI8ngOJCde0n46snUHOpPFGrwiBERFQfg5/zNFjN013H/+GcGySVztNjT62tdTrsPJfKE7UyLgWhrl27QqfT1XlMnDgRAPDdd9/hiSeewH333Qej0YiRI0eiqKhItY/i4mIkJSXBaDTC398fKSkpuHr1qqrmyJEj6N+/P7y8vBAaGoq0tLQ6fcnIyEBkZCS8vLwQFRWFrVu3qtpFBLNnz0anTp3g7e2N2NhYnDzJ1RxE1AhVp8U+TgFG/L067KT/sXpuUMeeQPiAuhdX5NwgolbFpSC0f/9+XLx4UXlkZmYCAJ588klcu3YNgwYNgk6nw86dO7Fnzx7cuHEDv//97+FwOJR9JCUl4dixY8jMzMTmzZuxa9cujB9fvQTVbrdj0KBB6NKlC3Jzc7Fw4ULMnTsXy5dXX69j7969SExMREpKCg4ePIhhw4Zh2LBhyMvLU2rS0tLw9ttv491330VOTg58fX0RFxeHsrKyO/5lEZEGlNmAH09Vnxb7+Bngt3+rW9fQbTQ4N4iodZGfYdKkSdK9e3dxOByyfft2cXNzE5vNprRbrVbR6XSSmZkpIiLHjx8XALJ//36lZtu2baLT6eTChQsiIrJ06VIJCAiQ8vJypWb69OkSERGhPB85cqQkJCSo+hIdHS0TJkwQERGHwyFms1kWLlyo6ovBYJB169Y1enw2m00AqMZERG3YlbMi7/QVef1+kXP7RN58QGSOUeSV9s6fVY+5Ac72mqznRUqtzdNvIlJx5fv7jucI3bhxA2vXrkVycjJ0Oh3Ky8uh0+lgMBiUGi8vL7i5uWH37t0AgOzsbPj7+6NPnz5KTWxsLNzc3JCTk6PUDBgwAHq9XqmJi4tDQUEBrly5otTExsaq+hMXF4fs7GwAQGFhISwWi6rGZDIhOjpaqSEiUimzAR8+CVzKc871yRgLxP3/6qXyVaTSeaSo5moyzg0iapXuOAht2rQJVqsVY8eOBQA8/vjj8PX1xfTp03H9+nVcu3YNf/3rX1FZWYmLFy8CACwWCwIDA1X78fDwQPv27WGxWJSaoKAgVU3V89vV1Gyv+br6aupTXl4Ou92uehCRRtgvApe/q35uOw9sGF03BHn5O0+HcU4QUZtwx0FoxYoViI+PR3BwMADgvvvuQ0ZGBv7xj3/Az88PJpMJVqsVjzzyCNzcWsfitNTUVJhMJuURGhra3F0ioqZgPecMNu3U/1CDVNat9fQGnlzNOUFEbYTHnbzozJkz2LFjBzZu3KjaPmjQIHz33Xf48ccf4eHhAX9/f5jNZnTr1g0AYDabcenSJdVrbt68ieLiYpjNZqWm9kqzque3q6nZXrWtU6dOqpqHHnqowXHNnDkTU6ZMUZ7b7XaGIaK2znoOWBoN3CwHRn4AbJvWwC0ydEA7M1By0XlabMQK58oxng4jatXu6FDNqlWrEBgYiISEhHrbO3bsCH9/f+zcuROXLl3CkCFDAAAxMTGwWq3Izc1Vanfu3AmHw4Ho6GilZteuXaioqFBqMjMzERERgYCAAKUmKytL9Z6ZmZmIiYkBAISHh8NsNqtq7HY7cnJylJr6GAwGGI1G1YOI2rirl5whyHETSH8aiE8DfNrXrfPyB576n+ql8h+nOFeNEVGr5nIQcjgcWLVqFcaMGQMPD/UBpVWrVuHrr7/Gd999h7Vr1+LJJ5/E5MmTERERAQD4xS9+gcGDB+PZZ5/Fvn37sGfPHjz//PMYNWqUcortD3/4A/R6PVJSUnDs2DFs2LABb731lupIzaRJk/D555/jtddew7fffou5c+fim2++wfPPPw8A0Ol0eOGFF/C3v/0Nn332GY4ePYqnn34awcHBGDZs2J3+roioLer8qPM+YVWTojf8EbheXLeu7IpzAnXVdYV4WoyobXB1Sdr27dsFgBQUFNRpmz59ugQFBYmnp6f07NlTXnvtNXE4HKqay5cvS2Jiovj5+YnRaJRx48ZJSUmJqubw4cPSr18/MRgMEhISIvPnz6/zXunp6dKrVy/R6/XSu3dv2bJli6rd4XDIrFmzJCgoSAwGgwwcOLDePt8Kl88TtXGlVueydxHncvi5/upl8vU9Xr9f5Nw3XCpP1IK58v2tExFp5izWYtntdphMJthsNp4mI2prqq4efe0H5wURoQOWPg6U11gt6nMf4OEJ2L+v3uauByZ8BQRGNnmXiahxXPn+bh3LuYiI7qbaV49enQDkb1GHIAC4/gPw65nO5fJV2ncHjJ1ARG0DgxARaUuZDfhgKJDxtPo+Yp9Prb9+82TnBGpTZyCoN5CUwZViRG0IgxARaYv9IlB0vPrq0f3/Wn/d4IXVE6jTnwZ+9xowbhvgz0tqELUlDEJEpB1lNuDGNcDvpwsn2s4DX/zNOe+nJt9A4BcJ1avJPAzOo0E8EkTU5tzRBRWJiFod6zlgQ5IzDD25CsgYB9jOASX13HbHwwBAgM6/BJL/6QxOPBJE1CYxCDWj6zduNtjmptPBy9P9nteW3qiEoP6Fgzro4K2/s9qyiko4brEg0Ufv0ey13p7u0Ol0AIDym5WodNydWi8Pd7i5OWtv3HTgpsNxV2oNHu5wv4PaikoHKiobrtW7u8HD3c3l2puVDty4Ra2nuxs876C20iEov1nPrS1+4uHmBr2Hi7VlNjjWJaHs0knAUQlk/AkYttIZhq794KzFTeh1ArQLgsN6HmUrhwF//BgIfNC5sxr/X7m76WDwcP59FxGUVjTcB1dqm+r/e35GNK6WnxFOTfEZ0ZwYhJrR/bO3N9j2m4j7sGrcY8rzR+ftaPADNDq8PTZMqL5idr8FX6D42o16ax/obMJnz/dTnse+/i9csJbWW9sz0A+ZU36lPB+yZDdOXqr/Sroh/t7YM+M/lecj38vGkfO2emvb++pxYNZvledjVu5DTmE9F7CD88Mlf95g5fmf1ubii4If6q0FgNPzq692PiX9ELYebfgmu8f/O075UPy/G/Pw8YH6bqvglPtyLDr4GQAAf9ucj//5+kyDtV9N+w1C2/sAABb9swDLd/27wdp/Th6AXkHtAADvfHEKb2WdbLD204n/Hx4M9QcArNpTiNRt3zZYu+7ZxxHTvYPzv/edxexPjzVYu3JsH/xnpPMGxZsOXsDU/z3SYO07f3gECQ84V0xtP1aEiR8daLB24f95AE/2cR5F2XXyBySv/qbB2v8e2htPx3QFAOwrLEbi+183WDszPhITftUdAJB3wYah7+xpsHbSwJ6Y/NtegP0iTl31wKDSvzsbigC89wOANKV2vPtm/F/j58BT/4MLG/6K/kXTgNfyAOTV2e/ox7tg3rD/AAAUX7uBR/+2o8E+jHikM14b6QxTpRWVt/z//ndRZixNelR5zs8IJ35GtP3PiObU/FGMiOhesp4DPhkPQHf72tJi5wTq+AX3uldE1ELwgoq3cK8vqMjD3s1by8PeTm361FjJBejXPwVcPglHZSXKTOHOU2O15wV5meDhqYf+qvNf/A5jKMqeWAV06A541f1/n6fGnPgZcWe1/Ixwupenxlz5/mYQugVeWZqoFSuzAat+B/yQ7ww/VUvhvds7j/zU1K6T84aqVROo3Q3AhF28ejRRK8UrSxMR2S8CP/40OdrN3RmCdO51QxDcgJKLwMfPOFeTmUKdS+V59WgiTeBkaSJqmwztAL/7nNcKclQC0AFS+7SUGwCH82jRldM/haE1QMcevGYQkUbwiBARtT3Wn64PlLy9xn3C6pkF0C7I2e646QxDXiaGICKNYRAiorbFeg5YGg2sHOQ85ZW8HfDyr6fwp1Ni0DnDUGBv4KkPGYKINIZBiIjajjIbUHQMuFnuPMqzcjCQ9zFQZq2n+KdTYrZzAHTA8OW8ejSRBjEIEVHbUHQc+Ptvga0vAiM/qF4lljm7/vqqCdRuHoBPe06OJtIoBiEiav2s54DlvwF+LHBOjt42DUh4s/7aqtNkVavJOvTkKTEiDWMQIqLWz3IUqCyrfm47D3wxD3WuJu3p67x/WNUEap07MGQJT4kRaRiDEBG1fnpf1Pk4u1qEOivFbpY6t1WtJgvqDdzXs4k6SUQtEYMQEbVu1nNA5iznUvhbfaTp3ABxOCdQl1wEkv8JPP0pT4kRaRyDEBG1XkXHgQ+GOVeKlVz8KQzVQ+cG/P7t6gnUKwc7rzPEEESkeQxCRNQ6Wc8Bfx8IFJ+qXv1VcrH+WnEA/5pfvZrMwwD4BTZtf4moReItNoiodSr+t/N6QVUcDd9RHUD1arKnPnTODeIEaSICjwgRUWtUZgN2znMe1dG5N/51JUVAQFeGICJSMAgRUetTfhW49oPzVJhfIOosk6/iGwjVx5yxMy+cSEQqDEJE1PqYQoCxW5xHd0ouAnq/ujU6d+DaperVZB7eQOJHnCBNRCoMQkTUOpk6O8OQT0fgRknddqmsnkDdLggY8w8g6P6m7ycRtWgMQkTUel08Alz/Ub2t5pyhqtVkfoHAfb2atm9E1CowCBFR63Q+F9jwx7rba0+g9u/Ke4kRUYMYhIiodZJK5/WBAOek6OR/Vs8ZqgpDnj7AU//DVWJE1CCXglDXrl2h0+nqPCZOnAgAsFgsGD16NMxmM3x9ffHII4/g448/Vu2juLgYSUlJMBqN8Pf3R0pKCq5evaqqOXLkCPr37w8vLy+EhoYiLS2tTl8yMjIQGRkJLy8vREVFYevWrap2EcHs2bPRqVMneHt7IzY2FidPnnRluETUEpTZANsF9TbbBWDjswAE8DMD478AwqLVE6j9AoGnP+O8ICK6JZeC0P79+3Hx4kXlkZmZCQB48sknAQBPP/00CgoK8Nlnn+Ho0aMYPnw4Ro4ciYMHDyr7SEpKwrFjx5CZmYnNmzdj165dGD9+vNJut9sxaNAgdOnSBbm5uVi4cCHmzp2L5cuXKzV79+5FYmIiUlJScPDgQQwbNgzDhg1DXl6eUpOWloa3334b7777LnJycuDr64u4uDiUldW4QzURtWxlNmDtCGD175wXRKxi8HOe6qqa/2No59xeNYE6oKvzvzkviIhuR36GSZMmSffu3cXhcIiIiK+vr3zwwQeqmvbt28v7778vIiLHjx8XALJ//36lfdu2baLT6eTChQsiIrJ06VIJCAiQ8vJypWb69OkSERGhPB85cqQkJCSo3ic6OlomTJggIiIOh0PMZrMsXLhQabdarWIwGGTdunWNHp/NZhMAYrPZGv0aIrqLivJFXu8tMsco8uYDItZzzu3WcyKv/aLG9vPq11nPi5Ram76/RNQiuPL9fcdzhG7cuIG1a9ciOTkZOp3zYmZ9+/bFhg0bUFxcDIfDgfXr16OsrAy//vWvAQDZ2dnw9/dHnz59lP3ExsbCzc0NOTk5Ss2AAQOg1+uVmri4OBQUFODKlStKTWxsrKo/cXFxyM7OBgAUFhbCYrGoakwmE6Kjo5UaImrhymzAZ88DEMAUClw5DaxOAM7mOG+aar8AuBuAxPXO6wrVZArh5GgiapQ7vtfYpk2bYLVaMXbsWGVbeno6nnrqKXTo0AEeHh7w8fHBJ598gh49egBwziEKDFTf6NDDwwPt27eHxWJRasLDw1U1QUFBSltAQAAsFouyrWZNzX3UfF19NfUpLy9HeXn1vYvsdvttfw9EdI9UXT3adt55mqsqDK0cVF3jdx9gMDZbF4mo9bvjI0IrVqxAfHw8goODlW2zZs2C1WrFjh078M0332DKlCkYOXIkjh49elc6e6+lpqbCZDIpj9BQrjQhajY1rx5tOw84KtTt7cxA8va6R4OIiFxwR0HozJkz2LFjB5555hll23fffYclS5Zg5cqVGDhwIB588EHMmTMHffr0wTvvvAMAMJvNuHTpkmpfN2/eRHFxMcxms1JTVFSkqql6fruamu01X1dfTX1mzpwJm82mPM6dO9e4XwgR3RtVk59NnYGSWkdz3Tybp09E1KbcURBatWoVAgMDkZCQoGy7fv26c4du6l26u7vD4XBe6yMmJgZWqxW5ublK+86dO+FwOBAdHa3U7Nq1CxUV1f/6y8zMREREBAICApSarKws1ftkZmYiJiYGABAeHg6z2ayqsdvtyMnJUWrqYzAYYDQaVQ8iagEclern7ToBtnPOOUM1V5MREbnI5SDkcDiwatUqjBkzBh4e1VOMIiMj0aNHD0yYMAH79u3Dd999h9deew2ZmZkYNmwYAOAXv/gFBg8ejGeffRb79u3Dnj178Pzzz2PUqFHKKbY//OEP0Ov1SElJwbFjx7Bhwwa89dZbmDJlivJekyZNwueff47XXnsN3377LebOnYtvvvkGzz//PABAp9PhhRdewN/+9jdlKf/TTz+N4OBgpS9E1MI0dL2glYOd1wWqyc1dPYG69uuIiBrL1SVp27dvFwBSUFBQp+3EiRMyfPhwCQwMFB8fH3nggQfqLKe/fPmyJCYmip+fnxiNRhk3bpyUlJSoag4fPiz9+vUTg8EgISEhMn/+/DrvlZ6eLr169RK9Xi+9e/eWLVu2qNodDofMmjVLgoKCxGAwyMCBA+vt861w+TxREym1irw/UL1EXkSk6LjIf3d0LpN/paPIyR3OmjlGkdfvdy6tf38gl8oTkYor3986EZFmzmItlt1uh8lkgs1m42kyonvp0rfAhyOcp7kCujrnBUEHrIxzngIDnPOEkv8JQJxHga6cdm5L+hgIjGy+vhNRi+PK9zfvNUZEzUu5XpDOGWyqTnf9UABc/WnBg5seSPpf5wqxmlePbtcJMHZqxs4TUWt3x9cRIiK6Kwp3A5e/A0qLnfN+qsLQ2ieqa9oFqa8XZOoMjN1afasNIqI7xCBERM3nUDqw6Vnnf3u3d54Ga1fPEZ7B8+u/ejQR0c/EU2NE1DyOb64OQYDziJDBv+4KMQC4Uthk3SIibWEQIqKmV3QcSP9j3e3l1vrr9/+d1wsionuCQYiIml7hHgCNWLCq81RPoOb1gojoLmMQIqKmF9DI+/hJBZTVZL73OSdHExHdRQxCRNR0qq4eHTEYGPXR7eurJlBDBwxZwhViRHTXMQgRUdMoswFrRwCrf+ec7xOZcPswVFrsDEPtzLxeEBHdEwxCRNQ0yq8C136oMd/nPPDN6tu/rrQYiHqKR4OI6J5gECKipmEKqb4i9JXTwLK+wKl/Nu61nR68lz0jIg1jECKiplN1ewy/IOepspoeGVf/a4a9D4Q9du/7RkSaxCBERE3L1Bn4j/+j3hY7FxjyZt05Q/0mAw+NbKqeEZEGMQgRUdOynQeOb1Jvy11d/wTqKIYgIrq3GISIqOnYzjsnStsvAMYQIPa/q+cMVU2gjkwAEjcAf8oGgu5v7h4TURvHIERETcN2wRl2rpx2hp+UfwL9JqknUFddPTpiMEMQETUJBiEiahoGP+fVoQO6OsOPqbNze9UE6oCuvHo0ETU5j+buABFphJcJ+OPHzusJmULUbabOwNitzhDE6wURURNiECKipuNlajjo1A5HRERNgKfGiIiISLMYhIiIiEizGISIiIhIsxiEiIiISLMYhIiIiEizGISIiIhIsxiEiOjOldmcV4Kuj+1C3TvMExG1MAxCRHRnymzA2hHA6t857xFWk+28c/vaEQxDRNSiMQgR0Z0pvwpc+0F9w1Sg+saqV04728uvNmcviYhuiUGIiO6MKaTuDVPP5qhvrDp2C68YTUQtGoMQEd25mjdMvXIaWDmoVgjq3Lz9IyK6DQYhIvp5TJ2BJ5artz2xnCGIiFoFl4JQ165dodPp6jwmTpyI06dP19um0+mQkZGh7OPs2bNISEiAj48PAgMDMXXqVNy8eVP1Pl9++SUeeeQRGAwG9OjRA6tXr67Tl3feeQddu3aFl5cXoqOjsW/fPlV7WVkZJk6ciA4dOsDPzw8jRoxAUVGRK8MlosawnQc+Ga/e9sn4uhOoiYhaIJeC0P79+3Hx4kXlkZmZCQB48sknERoaqmq7ePEiXnnlFfj5+SE+Ph4AUFlZiYSEBNy4cQN79+7FmjVrsHr1asyePVt5j8LCQiQkJOA3v/kNDh06hBdeeAHPPPMMtm/frtRs2LABU6ZMwZw5c3DgwAE8+OCDiIuLw6VLl5SayZMn4x//+AcyMjLwr3/9C99//z2GDx/+s35ZRFRLzYnRAV2B5H+q5wwxDBFRSyc/w6RJk6R79+7icDjqbX/ooYckOTlZeb5161Zxc3MTi8WibFu2bJkYjUYpLy8XEZFp06ZJ7969Vft56qmnJC4uTnn+2GOPycSJE5XnlZWVEhwcLKmpqSIiYrVaxdPTUzIyMpSa/Px8ASDZ2dmNHp/NZhMAYrPZGv0aIs2wnhd58wGROUbnT+u5n7afq7X9fPP2k4g0x5Xv7zueI3Tjxg2sXbsWycnJ0Ol0ddpzc3Nx6NAhpKSkKNuys7MRFRWFoKAgZVtcXBzsdjuOHTum1MTGxqr2FRcXh+zsbOV9c3NzVTVubm6IjY1VanJzc1FRUaGqiYyMRFhYmFJTn/LyctjtdtWDiBpg8AN876s7MbrmBGrf+5x1REQtlMedvnDTpk2wWq0YO3Zsve0rVqzAL37xC/Tt21fZZrFYVCEIgPLcYrHcssZut6O0tBRXrlxBZWVlvTXffvutsg+9Xg9/f/86NVXvU5/U1FS88sorDQ+aiKp5mYA/fuy8TlDtJfKmzsDYrc4Q5GVqnv4RETXCHR8RWrFiBeLj4xEcHFynrbS0FB999JHqaFBrMHPmTNhsNuVx7ty55u4SUcvmZWr4OkGmEIYgImrx7uiI0JkzZ7Bjxw5s3Lix3vb//d//xfXr1/H000+rtpvN5jqru6pWcpnNZuVn7dVdRUVFMBqN8Pb2hru7O9zd3eutqbmPGzduwGq1qo4K1aypj8FggMFguMXIiTSkzFb/0R7AeR8xHu0hojbgjo4IrVq1CoGBgUhISKi3fcWKFRgyZAjuu+8+1faYmBgcPXpUtborMzMTRqMR999/v1KTlZWlel1mZiZiYmIAAHq9Ho8++qiqxuFwICsrS6l59NFH4enpqaopKCjA2bNnlRoiugXeR4yINMLlIORwOLBq1SqMGTMGHh51DyidOnUKu3btwjPPPFOnbdCgQbj//vsxevRoHD58GNu3b8fLL7+MiRMnKkdinnvuOfz73//GtGnT8O2332Lp0qVIT0/H5MmTlf1MmTIF77//PtasWYP8/Hz86U9/wrVr1zBu3DgAgMlkQkpKCqZMmYIvvvgCubm5GDduHGJiYvD444+7OmQi7eF9xIhIK1xdkrZ9+3YBIAUFBfW2z5w5U0JDQ6WysrLe9tOnT0t8fLx4e3tLx44d5cUXX5SKigpVzRdffCEPPfSQ6PV66datm6xatarOfhYvXixhYWGi1+vlsccek6+//lrVXlpaKn/+858lICBAfHx85IknnpCLFy+6NFYunydNq70M/szX9S+XJyJqYVz5/taJiDRzFmux7HY7TCYTbDYbjEZjc3eHqOnVPAJUhfcRI6IWzpXvb95rjIgaxvuIEVEbxyBERA3jfcSIqI1jECKi+vE+YkSkAQxCRFSX7YI6BI3dAoRFV986QwlDF5q3n0REPxODEBHVxfuIEZFG3PG9xoioDeN9xIhIIxiEiKh+XqaGg05D9xcjImpleGqMiIiINItBiIiIiDSLQYiIiIg0i0GIiIiINItBiIiIiDSLQYiIiIg0i0GIiIiINItBiIiIiDSLQYiIiIg0i1eWvgURAQDY7fZm7gkRERE1VtX3dtX3+K0wCN1CSUkJACA0NLSZe0JERESuKikpgcl063si6qQxcUmjHA4Hvv/+e7Rr1w46na65u3PP2O12hIaG4ty5czAajc3dnXuCY2wbtDBGQBvj5BjbjpY4ThFBSUkJgoOD4eZ261lAPCJ0C25ubujcuXNzd6PJGI3GFvOX+F7hGNsGLYwR0MY4Oca2o6WN83ZHgqpwsjQRERFpFoMQERERaRaDEMFgMGDOnDkwGAzN3ZV7hmNsG7QwRkAb4+QY247WPk5OliYiIiLN4hEhIiIi0iwGISIiItIsBiEiIiLSLAYhIiIi0iwGoRaua9eu0Ol0dR4TJ05EcXEx/uu//gsRERHw9vZGWFgY/vKXv8Bms6n2cfbsWSQkJMDHxweBgYGYOnUqbt68qar58ssv8cgjj8BgMKBHjx5YvXp1nb6888476Nq1K7y8vBAdHY19+/ap2svKyjBx4kR06NABfn5+GDFiBIqKin72OGsSEcTHx0On02HTpk2tapyNGWN2djb+8z//E76+vjAajRgwYABKS0uV9uLiYiQlJcFoNMLf3x8pKSm4evWq6n2OHDmC/v37w8vLC6GhoUhLS6vTl4yMDERGRsLLywtRUVHYunWrql1EMHv2bHTq1Ane3t6IjY3FyZMnf/YYLRYLRo8eDbPZDF9fXzzyyCP4+OOPVfto6WOsrKzErFmzEB4eDm9vb3Tv3h3z5s1T3dOoMftu7eOsqKjA9OnTERUVBV9fXwQHB+Ppp5/G999/32rG2Zg/y5qee+456HQ6vPnmm21ujPn5+RgyZAhMJhN8fX3xy1/+EmfPnlXaG/O511SfwXedUIt26dIluXjxovLIzMwUAPLFF1/I0aNHZfjw4fLZZ5/JqVOnJCsrS3r27CkjRoxQXn/z5k35j//4D4mNjZWDBw/K1q1bpWPHjjJz5kyl5t///rf4+PjIlClT5Pjx47J48WJxd3eXzz//XKlZv3696PV6WblypRw7dkyeffZZ8ff3l6KiIqXmueeek9DQUMnKypJvvvlGHn/8cenbt+/PHmdNr7/+usTHxwsA+eSTT1rVOG83xr1794rRaJTU1FTJy8uTb7/9VjZs2CBlZWXKPgYPHiwPPvigfP311/LVV19Jjx49JDExUWm32WwSFBQkSUlJkpeXJ+vWrRNvb2957733lJo9e/aIu7u7pKWlyfHjx+Xll18WT09POXr0qFIzf/58MZlMsmnTJjl8+LAMGTJEwsPDpbS09GeN8be//a388pe/lJycHPnuu+9k3rx54ubmJgcOHGg1Y3z11VelQ4cOsnnzZiksLJSMjAzx8/OTt956y6V9t/ZxWq1WiY2NlQ0bNsi3334r2dnZ8thjj8mjjz6q2k9LHmdj/iyrbNy4UR588EEJDg6WN954o02N8dSpU9K+fXuZOnWqHDhwQE6dOiWffvqpS597TfkZfLcxCLUykyZNku7du4vD4ai3PT09XfR6vVRUVIiIyNatW8XNzU0sFotSs2zZMjEajVJeXi4iItOmTZPevXur9vPUU09JXFyc8vyxxx6TiRMnKs8rKyslODhYUlNTRcT5oejp6SkZGRlKTX5+vgCQ7OzsuzLOgwcPSkhIiFy8eLFOEGqN46w9xujoaHn55ZcbrD9+/LgAkP379yvbtm3bJjqdTi5cuCAiIkuXLpWAgABlzCIi06dPl4iICOX5yJEjJSEhQbXv6OhomTBhgoiIOBwOMZvNsnDhQqXdarWKwWCQdevW/awx+vr6ygcffKCqad++vbz//vutZowJCQmSnJys2jZ8+HBJSkpq9L7bwjjrs2/fPgEgZ86caRXjbOwYz58/LyEhIZKXlyddunRRBaG2MMannnpK/vjHPza4j8Z87jXVZ/C9wFNjrciNGzewdu1aJCcnN3gTWJvNBqPRCA8P523ksrOzERUVhaCgIKUmLi4Odrsdx44dU2piY2NV+4mLi0N2drbyvrm5uaoaNzc3xMbGKjW5ubmoqKhQ1URGRiIsLEyp+TnjvH79Ov7whz/gnXfegdlsrvOa1jbO2mO8dOkScnJyEBgYiL59+yIoKAi/+tWvsHv3btUY/f390adPH2VbbGws3NzckJOTo9QMGDAAer1eNcaCggJcuXKlUb+HwsJCWCwWVY3JZEJ0dPTPGiMA9O3bFxs2bEBxcTEcDgfWr1+PsrIy/PrXv241Y+zbty+ysrJw4sQJAMDhw4exe/duxMfHN3rfbWGc9bHZbNDpdPD3928V42zMGB0OB0aPHo2pU6eid+/edfbR2sfocDiwZcsW9OrVC3FxcQgMDER0dLRq6kFjPvea6jP4XuBNV1uRTZs2wWq1YuzYsfW2//jjj5g3bx7Gjx+vbLNYLKq/mACU5xaL5ZY1drsdpaWluHLlCiorK+ut+fbbb5V96PV65QOwZk3V+/yccU6ePBl9+/bF0KFD631Naxtn7TH++9//BgDMnTsXixYtwkMPPYQPPvgAAwcORF5eHnr27AmLxYLAwEDVfjw8PNC+fXvVGMPDwxv8PQQEBDT4e6i5j5qvu1tjBID09HQ89dRT6NChAzw8PODj44NPPvkEPXr0UN67pY9xxowZsNvtiIyMhLu7OyorK/Hqq68iKSmp0ftuC+OsraysDNOnT0diYqJy482WPs7GjHHBggXw8PDAX/7yl3r30drHeOnSJVy9ehXz58/H3/72NyxYsACff/45hg8fji+++AK/+tWvGvW511SfwfcCg1ArsmLFCsTHxyM4OLhOm91uR0JCAu6//37MnTu36Tt3F9Ue52effYadO3fi4MGDzdyzu6f2GB0OBwBgwoQJGDduHADg4YcfRlZWFlauXInU1NRm6+udqu/v66xZs2C1WrFjxw507NgRmzZtwsiRI/HVV18hKiqqGXvbeOnp6fjwww/x0UcfoXfv3jh06BBeeOEFBAcHY8yYMc3dvbvGlXFWVFRg5MiREBEsW7asmXrsutuNMTc3F2+99RYOHDjQ4FH4lu52Y6z67Bk6dCgmT54MAHjooYewd+9evPvuu/jVr37VnN1vEjw11kqcOXMGO3bswDPPPFOnraSkBIMHD0a7du3wySefwNPTU2kzm811ZvZXPa86xdRQjdFohLe3Nzp27Ah3d/d6a2ru48aNG7BarQ3W3Ok4d+7cie+++w7+/v7w8PBQTvuNGDFCOaXSmsZZ3xg7deoEALj//vtVtb/4xS+UlRtmsxmXLl1Std+8eRPFxcW3HWNjfg8122u+7m6N8bvvvsOSJUuwcuVKDBw4EA8++CDmzJmDPn364J133mk1Y5w6dSpmzJiBUaNGISoqCqNHj8bkyZOVsNqYfbeFcVapCkFnzpxBZmamcjSoNYzzdmP86quvcOnSJYSFhSmfPWfOnMGLL76Irl27tokxduzYER4eHrf97Lnd515TfQbfCwxCrcSqVasQGBiIhIQE1Xa73Y5BgwZBr9fjs88+g5eXl6o9JiYGR48eVf2PWvVhVfUXPyYmBllZWarXZWZmIiYmBgCg1+vx6KOPqmocDgeysrKUmkcffRSenp6qmoKCApw9e1apudNxzpgxA0eOHMGhQ4eUBwC88cYbWLVqVasbZ31j7Nq1K4KDg1FQUKCqPXHiBLp06aL032q1Ijc3V2nfuXMnHA4HoqOjlZpdu3ahoqJCNcaIiAgEBAQ06vcQHh4Os9msqrHb7cjJyflZY7x+/ToA5zn/mtzd3ZV/lbaGMV6/fv2WY2jMvtvCOIHqEHTy5Ens2LEDHTp0UNW39HHeboyjR4+u89kTHByMqVOnYvv27W1ijHq9Hr/85S9v+dnTmM+9pvoMvifu2TRsumsqKyslLCxMpk+frtpus9kkOjpaoqKi5NSpU6plyzdv3hSR6iWNgwYNkkOHDsnnn38u9913X71LGqdOnSr5+fnyzjvv1Luk0WAwyOrVq+X48eMyfvx48ff3V60QeO655yQsLEx27twp33zzjcTExEhMTMzPHmd90MDy+ZY+zluN8Y033hCj0SgZGRly8uRJefnll8XLy0tOnTql1AwePFgefvhhycnJkd27d0vPnj1Vy3StVqsEBQXJ6NGjJS8vT9avXy8+Pj51lul6eHjIokWLJD8/X+bMmVPvMl1/f3/59NNP5ciRIzJ06NBGLbm+1Rhv3LghPXr0kP79+0tOTo6cOnVKFi1aJDqdTrZs2dJqxjhmzBgJCQlRliNv3LhROnbsKNOmTXNp3619nDdu3JAhQ4ZI586d5dChQ6rPn5qro1ryOBvzZ1lb7VVjbWGMGzduFE9PT1m+fLmcPHlSWdb+1VdfKTW3+9xrys/gu41BqBXYvn27AJCCggLV9i+++EIA1PsoLCxU6k6fPi3x8fHi7e0tHTt2lBdffFFZXl9zXw899JDo9Xrp1q2brFq1qk4/Fi9eLGFhYaLX6+Wxxx6Tr7/+WtVeWloqf/7znyUgIEB8fHzkiSeekIsXL/7scdandhBqLeO83RhTU1Olc+fO4uPjIzExMaoPIhGRy5cvS2Jiovj5+YnRaJRx48ZJSUmJqubw4cPSr18/MRgMEhISIvPnz6/zPunp6dKrVy/R6/XSu3dvVRARcS7VnTVrlgQFBYnBYJCBAwc26s/ldmM8ceKEDB8+XAIDA8XHx0ceeOCBOsvpW/oY7Xa7TJo0ScLCwsTLy0u6desmL730kurLvzH7bu3jLCwsbPDzp+b1v1ryOBvzZ1lbfUGoLYxxxYoV0qNHD/Hy8pIHH3xQNm3apGpvzOdeU30G3206kQYuoUlERETUxnGOEBEREWkWgxARERFpFoMQERERaRaDEBEREWkWgxARERFpFoMQERERaRaDEBEREWkWgxARERFpFoMQERERaRaDEBEREWkWgxARERFpFoMQERERadb/A9lWTDB9tGLPAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, reclassify after the trimming\n",
      "There are 65 HDs still with both discontinuity problems\n",
      "Additionally, 0 of the originally discontig HDs are now contig but still have an enclave\n"
     ]
    }
   ],
   "source": [
    "print(\"Before addressing enclaves, let's triage the discontinuous HDs\")\n",
    "#this is the CANTRIM code####\n",
    "\n",
    "#for t in sPgenerator:\n",
    "#    isContig, smallP = isContiguous(filledHDvtdList[t],unitNbrs)\n",
    "#    if isContig:\n",
    "#        print(\"oops!\",t)\n",
    "maxNudgeDownPop = int(0.02 * aDP)\n",
    "minPostFixPop = int(0.95 * aDP)\n",
    "print(\"Now work on dropping smallish disconnected pieces that would keep us above\",minPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "print(\"we'll also trim any HD with total islands' pop <=\",maxNudgeDownPop)\n",
    "nOrigIslands = [0 for t in range(nHDs)]\n",
    "totalIslandPop = [0. for t in range(nHDs)]\n",
    "tryToTrim, canTrim, cantTrim = list(), list(), list()\n",
    "for jj, t in enumerate(sPgenerator):\n",
    "    if jj%100 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    currList, shedList, shedPop = HDunitList[t].copy(), list(),  0.\n",
    "    done,newList = isContiguous(currList,unitNbrs)\n",
    "    if not done:\n",
    "        tryToTrim.append(t)\n",
    "        while not done:\n",
    "            shedList += newList\n",
    "            shedPop += np.sum( [unitPop[u] for u in newList] )\n",
    "            currList = list (  set(currList).difference(set(newList ))  )\n",
    "            done, newList = isContiguous(currList, unitNbrs)\n",
    "            nOrigIslands[t] +=1\n",
    "            \n",
    "        totalIslandPop[t] = shedPop            \n",
    "        if shedPop <= maxNudgeDownPop or HDvPop[t] - shedPop >= minPostFixPop:\n",
    "            canTrim.append(t)\n",
    "            HDvPop[t] -= shedPop\n",
    "            HDunitList[t] = list (set(HDunitList[t]).difference(set(shedList)) )\n",
    "        else:\n",
    "            cantTrim.append(t)\n",
    "print(\"Out of\",len(sPgenerator),\"discontig HDs\",len(tryToTrim),\"had discontig HDs.\")\n",
    "print(\"Of these,\",len(canTrim),\"won't be under\",minPostFixPop,\"after all minor discontigys were shed, while\",\n",
    "      len(cantTrim),\"would be too underpopped if we trimmed the discontig pieces\")\n",
    "plt.scatter([HDvPop[t] + totalIslandPop[t] for t in canTrim],[HDvPop[t] for t in canTrim])\n",
    "plt.scatter([HDvPop[t]                     for t in cantTrim],[HDvPop[t] for t in cantTrim],marker=\"x\")\n",
    "print(\"here is adjusted pop by original pop for those we trimmed and those we didn't (x)\")\n",
    "plt.plot([0.9*aDP, 1.1*aDP],[aDP, aDP], ls=\"--\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Now, reclassify after the trimming\")\n",
    "badDiscoList, stillHasEnclave = list(), list()\n",
    "for t in sPgenerator:    \n",
    "    unbroken, noEnclave, __, ____ = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if not unbroken:\n",
    "        badDiscoList.append(t)  #will do a major triage on these later\n",
    "    if unbroken and not noEnclave:\n",
    "        stillHasEnclave.append(t)\n",
    "print(\"There are\",len(badDiscoList),\"HDs still with both discontinuity problems\")\n",
    "print(\"Additionally,\",len(stillHasEnclave),\"of the originally discontig HDs are now contig but still have an enclave\")\n",
    "eLgenerator += stillHasEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "39d37c15-759f-462c-b503-047b6b5e1554",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "25 300 65\n",
      "{1024, 1031, 1032, 1038, 5137, 1045, 1046, 1047, 1049, 1050, 1051, 1052, 3097, 4123, 1059, 1060, 3109, 5155, 1063, 5158, 5162, 5166, 5167, 5174, 4173, 4180, 1114, 1122, 1125, 1128, 1129, 1131, 4199, 1146, 4223, 3220, 1191, 170, 171, 172, 173, 183, 187, 1221, 4293, 4298, 4299, 4300, 4301, 4304, 4308, 1248, 4328, 4330, 4331, 1262, 4347, 4362, 273, 4379, 4382, 4383, 2369, 331, 1360, 4433, 4435, 4436, 4437, 4438, 4439, 4440, 4441, 4445, 4447, 4448, 1387, 5495, 4474, 4478, 4481, 4503, 4505, 4506, 4507, 4508, 4510, 4528, 5559, 4540, 5565, 5566, 5568, 4551, 4559, 4560, 4563, 4590, 4591, 5614, 4596, 1532, 4605, 5635, 1541, 5640, 5641, 5644, 4629, 2586, 3619, 3621, 2599, 3624, 4651, 3629, 2614, 2615, 3641, 584, 586, 1610, 602, 608, 1634, 1635, 1637, 626, 1650, 1652, 1658, 1660, 3746, 3750, 3751, 3753, 3758, 3778, 2757, 3781, 4805, 3786, 5835, 1741, 3791, 4815, 731, 3803, 3805, 4827, 4828, 738, 739, 740, 741, 742, 744, 745, 753, 3825, 756, 758, 3830, 760, 3832, 762, 3835, 3836, 768, 769, 3841, 772, 3846, 3847, 3848, 777, 3849, 3853, 3854, 3855, 3863, 3865, 4896, 3876, 3877, 3883, 3884, 3887, 3888, 3889, 3893, 3900, 3916, 3917, 3919, 3920, 3923, 4948, 4949, 3929, 3935, 4964, 4967, 3948, 3949, 3954, 3956, 3957, 3959, 3961, 3962, 3964, 3965, 3967, 3969, 3971, 2950, 3978, 917, 923, 924, 925, 3996, 928, 4001, 4002, 4004, 933, 4006, 4007, 4009, 937, 4008, 4010, 940, 4013, 944, 5043, 2997, 950, 952, 953, 956, 969, 3017, 979, 980, 981, 986, 990, 5089, 996, 4070, 4071, 1000, 1002, 1004, 5104, 4091, 4094}\n"
     ]
    }
   ],
   "source": [
    "print(len(discontigOnly),len(bothProblems), len(badDiscoList))\n",
    "print((set(discontigOnly).union(set(bothProblems)) ) .difference(set(badDiscoList)) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "2e54bac4-c327-473d-bbb4-257486bddd20",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And now, the major disco'd HDs (< 0.75 aDP in HDcP-contig portion and/or enclaves).  Redraw fully using HDswell\n",
      "Assuming we have run the previous canSwell block.  This block repeats the code, but starting from the home unit\n",
      "This takes 1 - 1000 sec per HD :-( The total number of HDs to fix is 65\n",
      "swell-generating HD 752 our 1 th HD we must regrow out of 65 0 sec elapsed\n",
      "swell-generating HD 1550 our 11 th HD we must regrow out of 65 101 sec elapsed\n",
      "swell-generating HD 2982 our 21 th HD we must regrow out of 65 893 sec elapsed\n",
      "swell-generating HD 3158 our 31 th HD we must regrow out of 65 1027 sec elapsed\n",
      "swell-generating HD 4762 our 41 th HD we must regrow out of 65 1133 sec elapsed\n",
      "swell-generating HD 4945 our 51 th HD we must regrow out of 65 1182 sec elapsed\n",
      "swell-generating HD 5082 our 61 th HD we must regrow out of 65 1244 sec elapsed\n"
     ]
    }
   ],
   "source": [
    "#THIS IS THE MUSTSPAWN code block\n",
    "print(\"And now, the major disco'd HDs (< 0.75 aDP in HDcP-contig portion and/or enclaves).  Redraw fully using HDswell\")\n",
    "print(\"Assuming we have run the previous canSwell block.  This block repeats the code, but starting from the home unit\")\n",
    "print(\"This takes 1 - 1000 sec per HD :-( The total number of HDs to fix is\",len(badDiscoList))\n",
    "avgDiam = MAP.area**0.5 / float(nDistricts)\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(badDiscoList):\n",
    "    if i%10 == 0:\n",
    "        print(\"swell-generating HD\",t,\"our\",i+1,\"th HD we must regrow out of\",len(badDiscoList),int(time.time()-startTime),\"sec elapsed\" )\n",
    "    notInCluster = True\n",
    "    for jj, geo in enumerate(CCBgeom):  #swell in-corner HDs from the corner cluster\n",
    "        if geo.contains(hdCP[t]):\n",
    "            starterU = allUnits.index(jj+0.25)\n",
    "            notInCluster = False\n",
    "    if notInCluster:\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]  #starter = unit with centroid closest to the hd center\n",
    "    contigUs = [starterU]  #we used getContigFromStarter(starterU, HDvtdList[t], unitNbrs) in above code block\n",
    "    contigPop = np.sum( [ unitPop[u] for u in contigUs ] )\n",
    "    gap = aDP - contigPop\n",
    "    origGap = gap\n",
    "    currList, addedList = contigUs.copy(), list()\n",
    "    adjoiners = getAdjoiners(currList, unitNbrs)\n",
    "    nearHDlist = [uu for uu in adjoiners]  #bias toward underused, close to HD (and its center)\n",
    "    nearHDscore = [ (0.2*(unitUse[uu] - 1.) ) + 0.5*(unitCP[uu].distance(HDpoly[t]) + \n",
    "        unitCP[uu].distance(hdCP[t])  )  / HDdiam[t] for uu in adjoiners ]\n",
    "    stillGoing = True\n",
    "    \n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "        while i < len(nearHDscore) and notYetPicked:        \n",
    "            listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "            if canAdd:\n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else: #we selected the best unit to add legally\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    nearHDscore.append((0.1*(unitUse[uu] - 1.) ) + 0.5*(unitCP[uu].distance(HDpoly[t]) + \n",
    "                                                                        unitCP[uu].distance(hdCP[t])  )  / HDdiam[t] )\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for i, uu in enumerate(nearHDlist.copy()):\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    for u in list( set(HDunitList[t]).difference(set(contigUs)) ):\n",
    "        unitUse[u] -= HDweight[t] * nDistricts       \n",
    "    HDunitList[t] = contigUs + addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    HDnAddedUnits[t] = len(addedList)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "b78199da-ac7c-4cfb-ac0b-26363a8a8c56",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prev avg use and its sd are 1.00014 0.12031\n",
      "defining and displaying current unit use after most recent manipulations; compare to original farther above.\n",
      "current avg use and its sd are 1.00014 0.11997\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"prev avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "print(\"defining and displaying current unit use after most recent manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "a2242181-3a07-40b7-ae56-bbe47bd2dc79",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(not-so-)final check -- any more disco's ?\n",
      "working on HD 0 time is now 0 sec\n",
      "working on HD 500 time is now 27 sec\n",
      "working on HD 1001 time is now 117 sec\n",
      "working on HD 1502 time is now 170 sec\n",
      "working on HD 2002 time is now 191 sec\n",
      "working on HD 2502 time is now 201 sec\n",
      "working on HD 3003 time is now 224 sec\n",
      "working on HD 3503 time is now 233 sec\n",
      "working on HD 4004 time is now 312 sec\n",
      "working on HD 4505 time is now 360 sec\n",
      "working on HD 5006 time is now 399 sec\n",
      "working on HD 5506 time is now 423 sec\n",
      "working on HD 6006 time is now 453 sec\n",
      "working on HD 6506 time is now 459 sec\n",
      "working on HD 7006 time is now 465 sec\n",
      "working on HD 7506 time is now 472 sec\n",
      "working on HD 8006 time is now 479 sec\n",
      "working on HD 8507 time is now 485 sec\n",
      "out of 8934 total HDs, there were 8847 0 87 0 HDs that were clean, discontig only, enclave-only, both problems after triage\n",
      "this took 490 seconds with maxLoop =  5\n"
     ]
    }
   ],
   "source": [
    "print(\"(not-so-)final check -- any more disco's ?\")\n",
    "maxLOOP = 5  #can increase to avoid false enclave detection\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime),\"sec\")\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs, maxLOOP)\n",
    "    if not noEnclave:\n",
    "        noEnclave, enclaveList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n",
    "print(\"this took\",int(time.time() - startTime),\"seconds with maxLoop = \", maxLOOP)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "623fb818-67d9-458d-b854-4c70dfa449ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's fill in all enclaves that won't put us over 825961 district pop vs 786629 target\n",
      "working on enclave-y HD 170 . We have evaluated 0 of 8011 enclavy HDs.Time is now 0\n",
      "Out of 8011 HDs with enclaves 87 had enclaves.\n",
      "Of these, 81 wouldn't be over 825961 if all enclaves filled, while 6 were too populous\n",
      "here is enclave pop by final pop for those we filled\n"
     ]
    },
    {
     "data": {
      "image/png": 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lZs2aZS699FITExNjxo4daxYtWmSqqqpCpnHixAkzf/58M3ToUJOQkGDuvfdeU19fH1Lz3nvvmRtuuMF4PB4zatQos2rVqla9bNq0yVx11VXG7XabiRMnmj/+8Y8h44PBoHniiSdMSkqK8Xg85qabbjJHjhwJ+7X6/X4jyfj9/i7MIQAA0J+6sv2+qOsIDXZcRwgAgMjT79cRAgAAiAQEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhAAAgLWG9HcDAACgdzUFjUoqalVT36DkYbHKTE9SdJSrv9saEAhCAAAMYoVllVqxpVyV/gZnWKo3VgVzMpQ3KbUfOxsY+GoMAIBBqrCsUos37AsJQZJU5W/Q4g37VFhW2U+dDRwEIQAABqGmoNGKLeUybYxrHrZiS7magm1V2IMgBADAIFRSUdtqT1BLRlKlv0ElFbV919QARBACAGAQqqlvPwR1p26wIggBADAIJQ+L7dG6wYogBADAIJSZnqRUb6zaO0nepfNnj2WmJ/VlWwMOQQgAgEEoOsqlgjkZktQqDDXfL5iTYf31hAhCAAAMUnmTUrX2zunyeUO//vJ5Y7X2zulcR0hcUBEAgEEtb1Kqbs7wcWXpdhCEAAAY5KKjXMq+fER/tzEg8dUYAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwVpeD0K5duzRnzhylpaXJ5XLp1VdfDRlvjNGTTz6p1NRUxcXFKScnR0ePHg2pqa2t1YIFC5SQkKDExEQtXLhQJ0+eDKl5//33NXPmTMXGxmr06NFavXp1q142b96sCRMmKDY2VpMnT9bWrVu73AsAALBXl4PQqVOnNGXKFK1Zs6bN8atXr9YzzzyjdevWac+ePbrkkkuUm5urhoYGp2bBggU6dOiQioqK9Nprr2nXrl267777nPGBQECzZs3S2LFjVVpaqqefflpPPfWUnn/+eafmnXfe0fz587Vw4ULt379fc+fO1dy5c1VWVtalXgAAgMXMRZBkXnnlFed+MBg0Pp/PPP30086wuro64/F4zEsvvWSMMaa8vNxIMu+++65T86c//cm4XC7z2WefGWOM+dWvfmWGDx9uzpw549Q89thj5uqrr3buf+c73zH5+fkh/WRlZZnvf//7YffSGb/fbyQZv98fVj0AAOh/Xdl+9+gxQhUVFaqqqlJOTo4zzOv1KisrS8XFxZKk4uJiJSYm6tprr3VqcnJyFBUVpT179jg1N954o9xut1OTm5urI0eO6Msvv3RqWj5Pc03z84TTy4XOnDmjQCAQcgMAAINXjwahqqoqSVJKSkrI8JSUFGdcVVWVkpOTQ8YPGTJESUlJITVtTaPlc7RX03J8Z71caOXKlfJ6vc5t9OjRYbxqAAAQqThrrIXly5fL7/c7t+PHj/d3SwAAoBf1aBDy+XySpOrq6pDh1dXVzjifz6eampqQ8efOnVNtbW1ITVvTaPkc7dW0HN9ZLxfyeDxKSEgIuQEAgMGrR4NQenq6fD6ftm3b5gwLBALas2ePsrOzJUnZ2dmqq6tTaWmpU7N9+3YFg0FlZWU5Nbt27dLZs2edmqKiIl199dUaPny4U9PyeZprmp8nnF4AAIDlunokdn19vdm/f7/Zv3+/kWR+/vOfm/3795tPP/3UGGPMqlWrTGJiovn9739v3n//fXPLLbeY9PR0c/r0aWcaeXl5Ztq0aWbPnj3mrbfeMldeeaWZP3++M76urs6kpKSYu+66y5SVlZmNGzea+Ph489xzzzk1b7/9thkyZIj52c9+Zg4fPmwKCgpMTEyMOXjwoFMTTi8d4awxAAAiT1e2310OQm+++aaR1Op29913G2POn7b+xBNPmJSUFOPxeMxNN91kjhw5EjKNEydOmPnz55uhQ4eahIQEc++995r6+vqQmvfee8/ccMMNxuPxmFGjRplVq1a16mXTpk3mqquuMm6320ycONH88Y9/DBkfTi8dIQgBABB5urL9dhljTH/tjRroAoGAvF6v/H4/xwsBABAhurL95qwxAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArDWkvxsAAAx+TUGjkopa1dQ3KHlYrDLTkxQd5ervtgCCEACgdxWWVWrFlnJV+hucYaneWBXMyVDepNR+7AzgqzEAQC8qLKvU4g37QkKQJFX5G7R4wz4VllX2U2fAeQQhAECvaAoardhSLtPGuOZhK7aUqynYVgXQNwhCAIBeUVJR22pPUEtGUqW/QSUVtX3XFHABghAAoFfU1LcfgrpTB/QGghAAoFckD4vt0TqgNxCEAAC9IjM9SaneWLV3krxL588ey0xP6su2gBAEIQBAr4iOcqlgToYktQpDzfcL5mRwPSH0K4IQAKDX5E1K1do7p8vnDf36y+eN1do7p3MdIfQ7LqgIAOhVeZNSdXOGjytLY0AiCAEAel10lEvZl4/o7zaAVvhqDAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtXo8CD311FNyuVwhtwkTJjjjGxoatGTJEo0YMUJDhw7V7bffrurq6pBpHDt2TPn5+YqPj1dycrKWLVumc+fOhdTs2LFD06dPl8fj0RVXXKH169e36mXNmjUaN26cYmNjlZWVpZKSkp5+uQAAIIL1yh6hiRMnqrKy0rm99dZbzriHHnpIW7Zs0ebNm7Vz5059/vnnuu2225zxTU1Nys/PV2Njo9555x29+OKLWr9+vZ588kmnpqKiQvn5+frGN76hAwcOaOnSpfre976n119/3al5+eWX9fDDD6ugoED79u3TlClTlJubq5qamt54yQAAIBKZHlZQUGCmTJnS5ri6ujoTExNjNm/e7Aw7fPiwkWSKi4uNMcZs3brVREVFmaqqKqdm7dq1JiEhwZw5c8YYY8yjjz5qJk6cGDLtefPmmdzcXOd+ZmamWbJkiXO/qanJpKWlmZUrV4b9Wvx+v5Fk/H5/2I8BAAD9qyvb717ZI3T06FGlpaVp/PjxWrBggY4dOyZJKi0t1dmzZ5WTk+PUTpgwQWPGjFFxcbEkqbi4WJMnT1ZKSopTk5ubq0AgoEOHDjk1LafRXNM8jcbGRpWWlobUREVFKScnx6lpy5kzZxQIBEJuAABg8OrxIJSVlaX169ersLBQa9euVUVFhWbOnKn6+npVVVXJ7XYrMTEx5DEpKSmqqqqSJFVVVYWEoObxzeM6qgkEAjp9+rS++OILNTU1tVnTPI22rFy5Ul6v17mNHj26W/MAAABEhh7/iY3Zs2c7f19zzTXKysrS2LFjtWnTJsXFxfX00/Wo5cuX6+GHH3buBwIBwhAAAINYr58+n5iYqKuuukoffvihfD6fGhsbVVdXF1JTXV0tn88nSfL5fK3OImu+31lNQkKC4uLiNHLkSEVHR7dZ0zyNtng8HiUkJITcAADA4NXrQejkyZP66KOPlJqaqhkzZigmJkbbtm1zxh85ckTHjh1Tdna2JCk7O1sHDx4MOburqKhICQkJysjIcGpaTqO5pnkabrdbM2bMCKkJBoPatm2bUwMAANDjZ4098sgjZseOHaaiosK8/fbbJicnx4wcOdLU1NQYY4y5//77zZgxY8z27dvN3r17TXZ2tsnOznYef+7cOTNp0iQza9Ysc+DAAVNYWGguvfRSs3z5cqfm448/NvHx8WbZsmXm8OHDZs2aNSY6OtoUFhY6NRs3bjQej8esX7/elJeXm/vuu88kJiaGnI3WGc4aAwAg8nRl+93jQWjevHkmNTXVuN1uM2rUKDNv3jzz4YcfOuNPnz5tfvCDH5jhw4eb+Ph4c+utt5rKysqQaXzyySdm9uzZJi4uzowcOdI88sgj5uzZsyE1b775ppk6dapxu91m/Pjx5oUXXmjVy7PPPmvGjBlj3G63yczMNLt37+7SayEIAQAQebqy/XYZY0z/7pMauAKBgLxer/x+P8cLAQAQIbqy/ea3xgAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1CEIAAMBaQ/q7AQDAxWsKGpVU1KqmvkHJw2KVmZ6k6ChXf7cFDHgEIQCIcIVllVqxpVyV/gZnWKo3VgVzMpQ3KbUfOwMGPr4aA4AIVlhWqcUb9oWEIEmq8jdo8YZ9Kiyr7KfOgMhAEAKACNUUNFqxpVymjXHNw1ZsKVdTsK0KABJBCAAiVklFbas9QS0ZSZX+BpVU1PZdU0CEIQgBQISqqW8/BHWnDrARQQgAIlTysNgerQNsRBACgAiVmZ6kVG+s2jtJ3qXzZ49lpif1ZVtARCEIAUCEio5yqWBOhiS1CkPN9wvmZHA9IaADBCEAiGB5k1K19s7p8nlDv/7yeWO19s7pXEcI6AQXVASACJc3KVU3Z/i4sjTQDQQhABgEoqNcyr58RH+3AUQcvhoDAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArDWkvxsAAFs1BY1KKmpVU9+g5GGxykxPUnSUq7/bAqxCEAKAflBYVqkVW8pV6W9whqV6Y1UwJ0N5k1L7sTPALnw1BgB9rLCsUos37AsJQZJU5W/Q4g37VFhW2U+dAfYhCAFAH2oKGq3YUi7TxrjmYSu2lKsp2FYFgJ5GEAKAPlRSUdtqT1BLRlKlv0ElFbV91xRgMY4RAoA+VFPffgjqTh1a4yB0dAVBCAD6UPKw2B6tQygOQkdX8dUYAPShzPQkpXpj1d7+CZfOb7gz05P6sq1BgYPQ0R0EIUS0pqBR8Ucn9PsDn6n4oxMcYApJA/t9ER3lUsGcDElqFYaa7xfMyeCrnC7iIHR0F1+NIWKxC7x3RPrxFZHwvsiblKq1d05v1aevH/uM9OXelYPQsy8f0a3niPR5hLYRhCIQK+P/7AK/8H+75l3ga++c3u2Nic3zNxJCREe68r7oqeXc3enkTUrVzRm+AfFeu5jl3tHrD2fe9NRyKCqvCquuuwehR/q6gfa5jDHsJ2xHIBCQ1+uV3+9XQkJCrz1PVz4IOloZB8qHam9rChrd8NPt7f7359L5/6zfeuybXX79Nn/YtRcimufgxYTLvtCV90VReVWPLOfB8H5pb7lL5+dZR8u9rdefdEmMfnzLJEVFuTqdN12Zf50Frr/5yRuqPdXY6et9adF1be4R6mj6Hc0jSXoo50o98M0rB+XnbaTqyvabINSB3gpCLVe4T744pZdKjqkqcMYZ3/KDILT2K/37G39pc0NlJCXGx6juq7PO8KRLYnTr1FHKyfApMz1JTUGjF9/5RO9+Uqt4d7Run3aZvn7lyIhbeYs/OqH5v97daV17H3jt6akgEIl7lHozXPaWC+dz0Bgt+P/3dPq4h3Kuanc9ksJfzl15v3Rnz8iMscNV+umXIY9pChr9n+JP9GntVxqbFK+7ssfJPaTjQz07CxAdLXdJGh4fo70/ujmk36ag0S+3f6j//cZfOp1P7c0bSWHPv84CU7ifCYlx0Vqz4Fp9cfKMRg71SEb64tSZDj+HvzkhRdetfEO1p852MGXJlxCrp74dOQF4sCMI9ZDeCEJtrdAXav4guO/GdP3hvcoOa8MV747W6camVh868e5o/fw7UyJq5f39gc/04MYDndb94o6pumXqqLCm2VNBIFL3EPRWuGxPd8Ni8+PeKK/S7/Z/pi9bBP9LPNE6daap02kkxsWo7nT7G7XE+Bg9e8c0Rblc+uLUmTb7u9i9T4lxMbr3+nFa/L+uUOmnX+qN8iq9cuCzkI1tlEtqeVxvvDtap882qeUndpRLWjQzXcu/ldFmHz0VIP6/6aM086pLlTwsVl+eOqMVWw6pur7zvS9taZ43xpiQ4NFWzc5l39DaHR/qf79xtM0ao/N7Y06catR/Fn8a1nN3dYMXE+XS2TAPsHZJWvMP0zT8Ek9E/SM0GBGEekhPB6HOdq/2p3UD/GuPlnpjo90T04zkr5Z6I1y2p7thMZx/InrLhf2F+35pb+9TM5dL6olP4O/f2DoMhfN+LKmo1W/e/uTiG+glSZe4w/q6ayC5MMDadujCQNGV7bcVp8+vWbNG48aNU2xsrLKyslRSUtLnPXR0audAUPD7sog5rbQ3rsPyxkUeaBnpp+721UX+unudl/Ye11cu7C/cA25feLuiw3W+p/4N/fWfK9R4LujcD+f9uPx3Bwd0CJIUcSFICg1B0vn3zv0b9mnGj4s0/9e79eDGA5r/69264afbua7RADHog9DLL7+shx9+WAUFBdq3b5+mTJmi3Nxc1dTU9GkfnZ3a2d+q6xsj5reNevo6LIVllfqPMDcI7QWBSP/9qL64yF93w+JA+Cfiwv7CDYQdfQXXk4JG+j/Fnzj3w3k/tvxaEb2n+b1Td8H85iKPA8egD0I///nPtWjRIt17773KyMjQunXrFB8fr9/85jd92kck/G5QJPTYrPk6LD5v6AbJ543t0ldQzRvZcES5pBljh7c5LtJ/P6ovLvLX3bA4UP6JaNlfOMExMS6mD7uTPq39yvl7oL7PWhoe37fzZ6CJhD3FthjUQaixsVGlpaXKyclxhkVFRSknJ0fFxcWt6s+cOaNAIBBy6ymR8LtBkdBjS3mTUvXWY9/US4uu0y/umKqXFl2ntx77ZpeOw+nKRjZopNJPv2xz3GD4/aieCpft6W5YHGgb9Zr6hrCC473Xj+vLtjQ2Kd75eyC/z5rdNu3ijjUbDAb6nmJbDOoLKn7xxRdqampSSkpKyPCUlBR98MEHrepXrlypFStW9Eovzf9BVvkbOt3F350zGy5WyjB3RP62UXSU66LOYurqRra9+s6Wb/NZMAN9HvfmRf66GxZ7YqPek+tUcz+dXR365gyfNr57vE/2ZkW5pLuyxzn3u/J5019yMnySFPbX0oPZQAv7thnUe4S6avny5fL7/c7t+PHjPTbtjv6DvJDPG6vv35guVxi1LSVexK7mFbdMsvIMhq5uZNurH0y/H9UcLm+ZOkrZl4/osZ67exxSZ48Lh88bq1/eMU0X81La6q+jvZIt3xO9bdHM9JDrCXX2fnTp/OdFf70bm+djcxjqaUM95//HH/hr23mRsAdvMBvUQWjkyJGKjo5WdXV1yPDq6mr5fK1XQI/Ho4SEhJBbT2rvq4dUb6weyrkq5IN0+bcy2qxNjI9pFXhSvbFad+d0lf7oZr206Dp99/pxSrrEHVIT745u80Mh3h0dUafO97TmjWxnwjlYuLe/Wop03Q2LXfkn4kILrx/nrFN/NzVNi2amd73xMPprLzjmTUrVujund+uflHBf66KZ49q8jlBn78dVt03u8Hn+7prULv8zFg6X/mc+9kTIbcvq26/RujZee0eGx8fo767p/jqaGDeky/OrJ05CwMUb9NcRysrKUmZmpp599llJUjAY1JgxY/TAAw/o8ccf7/CxfXFl6c6+emirVlK3fr9nsFxZuqeFc32nzn5qoKVIvLJ0X+qL6wh1NL2VW8v16z9XhJzm7NL5fwpONbZ9QcaLvShm85WYX3i7IuRMsguvOTPiErdumZqmmzN8mjF2uNbu+KjDqzc/O3+a5kxJ6/S5O/rpiI6WRVvjh8fHyJjQM+JSvbF6Iv9rOlpzss2LH7Z87MrbJofMx+b1T+r868tUb6y+PSVVz+9q/7IELa+pdOFrP1HfoCe3HAq5cGXzxS2bfyKjsKxSj//uYKuzvDrS/Pkgqc359eVXZ1t9PRsJ1xeLZFxQsYWXX35Zd999t5577jllZmbq3//937Vp0yZ98MEHrY4dulBf/dYY+l9HG9lIuDJ0pLnYK0vX1DeE/ERCy7/DmV7juWCrn6qIjnK1Oe2eDLPh/IzGhc/T21cr72xZdPWfsbb6vTBsXKi91/hEfoaGX+Ju9Twd/cbZt67pfjBsWbP74xMq/uiEPv7veu04UqOvzra9qbxwWbQ1/Z76bTuEjyB0gV/+8pd6+umnVVVVpalTp+qZZ55RVlZWp48jCNml+QOsyn9atacalTTUI18Ce3TQ/yJtL2N3+u3qY/pynjQFjXZ/dELFH3+hoJGGx7s1cljXPh8ibRlGOoJQDyEIAQAQefiJDQAAgDAQhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAaw3p7wYGsuaLbgcCgX7uBAAAhKt5ux3Oj2cQhDpQX18vSRo9enQ/dwIAALqqvr5eXq+3wxp+a6wDwWBQn3/+uYYNGyaXq+d/HC8QCGj06NE6fvw4v2UWQVhukYnlFrlYdpGpP5ebMUb19fVKS0tTVFTHRwGxR6gDUVFRuuyyy3r9eRISEli5IxDLLTKx3CIXyy4y9ddy62xPUDMOlgYAANYiCAEAAGsRhPqRx+NRQUGBPB5Pf7eCLmC5RSaWW+Ri2UWmSFluHCwNAACsxR4hAABgLYIQAACwFkEIAABYiyAEAACsRRDqglWrVsnlcmnp0qXOsIaGBi1ZskQjRozQ0KFDdfvtt6u6ujrkcceOHVN+fr7i4+OVnJysZcuW6dy5cyE1O3bs0PTp0+XxeHTFFVdo/fr1rZ5/zZo1GjdunGJjY5WVlaWSkpKQ8eH0YoOnnnpKLpcr5DZhwgRnPMts4Prss8905513asSIEYqLi9PkyZO1d+9eZ7wxRk8++aRSU1MVFxennJwcHT16NGQatbW1WrBggRISEpSYmKiFCxfq5MmTITXvv/++Zs6cqdjYWI0ePVqrV69u1cvmzZs1YcIExcbGavLkydq6dWvI+HB6scW4ceNarXMul0tLliyRxDo3EDU1NemJJ55Qenq64uLidPnll+tf/uVfQn6by5r1zSAsJSUlZty4ceaaa64xDz74oDP8/vvvN6NHjzbbtm0ze/fuNdddd535+te/7ow/d+6cmTRpksnJyTH79+83W7duNSNHjjTLly93aj7++GMTHx9vHn74YVNeXm6effZZEx0dbQoLC52ajRs3GrfbbX7zm9+YQ4cOmUWLFpnExERTXV0ddi+2KCgoMBMnTjSVlZXO7b//+7+d8Syzgam2ttaMHTvW3HPPPWbPnj3m448/Nq+//rr58MMPnZpVq1YZr9drXn31VfPee++Zb3/72yY9Pd2cPn3aqcnLyzNTpkwxu3fvNn/+85/NFVdcYebPn++M9/v9JiUlxSxYsMCUlZWZl156ycTFxZnnnnvOqXn77bdNdHS0Wb16tSkvLzc/+tGPTExMjDl48GCXerFFTU1NyPpWVFRkJJk333zTGMM6NxD95Cc/MSNGjDCvvfaaqaioMJs3bzZDhw41v/jFL5waW9Y3glAY6uvrzZVXXmmKiorM3/7t3zpBqK6uzsTExJjNmzc7tYcPHzaSTHFxsTHGmK1bt5qoqChTVVXl1Kxdu9YkJCSYM2fOGGOMefTRR83EiRNDnnPevHkmNzfXuZ+ZmWmWLFni3G9qajJpaWlm5cqVYfdii4KCAjNlypQ2x7HMBq7HHnvM3HDDDe2ODwaDxufzmaefftoZVldXZzwej3nppZeMMcaUl5cbSebdd991av70pz8Zl8tlPvvsM2OMMb/61a/M8OHDnWXZ/NxXX321c/873/mOyc/PD3n+rKws8/3vfz/sXmz24IMPmssvv9wEg0HWuQEqPz/ffPe73w0Zdtttt5kFCxYYY+xa3/hqLAxLlixRfn6+cnJyQoaXlpbq7NmzIcMnTJigMWPGqLi4WJJUXFysyZMnKyUlxanJzc1VIBDQoUOHnJoLp52bm+tMo7GxUaWlpSE1UVFRysnJcWrC6cUmR48eVVpamsaPH68FCxbo2LFjklhmA9kf/vAHXXvttfr7v/97JScna9q0afr1r3/tjK+oqFBVVVXI/PJ6vcrKygpZdomJibr22mudmpycHEVFRWnPnj1OzY033ii32+3U5Obm6siRI/ryyy+dmo6Wbzi92KqxsVEbNmzQd7/7XblcLta5AerrX/+6tm3bpr/85S+SpPfee09vvfWWZs+eLcmu9Y0g1ImNGzdq3759WrlyZatxVVVVcrvdSkxMDBmekpKiqqoqp6blyt08vnlcRzWBQECnT5/WF198oaampjZrWk6js15skZWVpfXr16uwsFBr165VRUWFZs6cqfr6epbZAPbxxx9r7dq1uvLKK/X6669r8eLF+qd/+ie9+OKLkv5n3nc2T5OTk0PGDxkyRElJST2yfFuO76wXW7366quqq6vTPffcI4nPyYHq8ccf1x133KEJEyYoJiZG06ZN09KlS7VgwQJJdq1v/Pp8B44fP64HH3xQRUVFio2N7e92EKbm/2gk6ZprrlFWVpbGjh2rTZs2KS4urh87Q0eCwaCuvfZa/eu//qskadq0aSorK9O6det0991393N3CNd//Md/aPbs2UpLS+vvVtCBTZs26be//a3+67/+SxMnTtSBAwe0dOlSpaWlWbe+sUeoA6WlpaqpqdH06dM1ZMgQDRkyRDt37tQzzzyjIUOGKCUlRY2Njaqrqwt5XHV1tXw+nyTJ5/O1OiOh+X5nNQkJCYqLi9PIkSMVHR3dZk3LaXTWi60SExN11VVX6cMPPwxrPrHM+kdqaqoyMjJChn3ta19zvtZsniedzdOampqQ8efOnVNtbW2PLN+W4zvrxUaffvqp3njjDX3ve99zhrHODUzLli1z9gpNnjxZd911lx566CHn2w+b1jeCUAduuukmHTx4UAcOHHBu1157rRYsWOD8HRMTo23btjmPOXLkiI4dO6bs7GxJUnZ2tg4ePBjyZikqKlJCQoLzoZ+dnR0yjeaa5mm43W7NmDEjpCYYDGrbtm1OzYwZMzrtxVYnT57URx99pNTU1LDmE8usf1x//fU6cuRIyLC//OUvGjt2rCQpPT1dPp8vZH4FAgHt2bMnZNnV1dWptLTUqdm+fbuCwaCysrKcml27duns2bNOTVFRka6++moNHz7cqelo+YbTi41eeOEFJScnKz8/3xnGOjcwffXVV4qKCo0A0dHRCgaDkixb3y76cGvLtDxrzJjzp2KOGTPGbN++3ezdu9dkZ2eb7OxsZ3zzaaGzZs0yBw4cMIWFhebSSy9t87TQZcuWmcOHD5s1a9a0eVqox+Mx69evN+Xl5ea+++4ziYmJIWdZdNaLLR555BGzY8cOU1FRYd5++22Tk5NjRo4caWpqaowxLLOBqqSkxAwZMsT85Cc/MUePHjW//e1vTXx8vNmwYYNTs2rVKpOYmGh+//vfm/fff9/ccsstbZ7OO23aNLNnzx7z1ltvmSuvvDLkdN66ujqTkpJi7rrrLlNWVmY2btxo4uPjW53OO2TIEPOzn/3MHD582BQUFLR5Om9nvdikqanJjBkzxjz22GOtxrHODTx33323GTVqlHP6/O9+9zszcuRI8+ijjzo1tqxvBKEuujAInT592vzgBz8ww4cPN/Hx8ebWW281lZWVIY/55JNPzOzZs01cXJwZOXKkeeSRR8zZs2dDat58800zdepU43a7zfjx480LL7zQ6rmfffZZM2bMGON2u01mZqbZvXt3yPhwerHBvHnzTGpqqnG73WbUqFFm3rx5IdeiYZkNXFu2bDGTJk0yHo/HTJgwwTz//PMh44PBoHniiSdMSkqK8Xg85qabbjJHjhwJqTlx4oSZP3++GTp0qElISDD33nuvqa+vD6l57733zA033GA8Ho8ZNWqUWbVqVateNm3aZK666irjdrvNxIkTzR//+Mcu92KT119/3Uhqcx6wzg08gUDAPPjgg2bMmDEmNjbWjB8/3vzwhz8MOc3dlvXNZUyLy0gCAABYhGOEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALDW/wWSjtCW5eKa6AAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#OPTIONAL if still enclaves -- rerun the CANFILL CODE  #check if sum of enclave pops small enough to add\n",
    "maxNudgeUpPop = int(0.02 * aDP)\n",
    "maxPostFixPop = int(1.05 * aDP)\n",
    "print(\"Now, let's fill in all enclaves that won't put us over\",maxPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "nOrigEnclaves = [0 for t in range(nHDs)]\n",
    "totalEnclavePop = [0. for t in range(nHDs)]\n",
    "tryToFill, canFill, cantFill = list(), list(), list()\n",
    "startTime = time.time()  #takes about xx sec per HD triage\n",
    "        \n",
    "for iii, t in enumerate(enclaveOnly):  #internals + edgers):\n",
    "    if iii%100 == 0:\n",
    "        print(\"working on enclave-y HD\",t,\". We have evaluated\",iii,\"of\",len(internals+edgers),\"enclavy HDs.Time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and not noEnclave:  #\"and unbroken\" new 1/15 - discontig HDs will usually appear to have enclaves.  We'll fix these in later block\n",
    "        tryToFill.append(t)\n",
    "        enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        nOrigEnclaves[t] = len(enclaveLists)\n",
    "        totalEnclavePop[t] = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in enclaveLists ] ) \n",
    "        if HDvPop[t] + totalEnclavePop[t] <= maxPostFixPop or totalEnclavePop[t] < maxNudgeUpPop:\n",
    "            canFill.append(t)\n",
    "            for eL in enclaveLists:\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += np.sum([unitPop[u] for u in eL])\n",
    "        else:\n",
    "            cantFill.append(t)\n",
    "print(\"Out of\",len(internals+edgers),\"HDs with enclaves\",len(tryToFill),\"had enclaves.\")\n",
    "print(\"Of these,\",len(canFill),\"wouldn't be over\",maxPostFixPop,\"if all enclaves filled, while\",len(cantFill),\"were too populous\")\n",
    "plt.scatter([HDvPop[t] for t in canFill],[totalEnclavePop[t] for t in canFill])\n",
    "print(\"here is enclave pop by final pop for those we filled\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "e262f9ab-1aee-4b76-bd8b-a60d62e650ac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1002 591534.2477408464 279281.0\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1004 592002.9225000164 267601.0252358834\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1122 740103.7729275567 522592.207244349\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3641 743346.1581183474 521790.207244349\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3959 703669.0 331810.0\n"
     ]
    },
    {
     "data": {
      "image/png": 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yDndjB7oOK1+uZNwlsU60uqYT3OtGtRkx5x8/iVHglPcIET9JWOIUrmvHUpoSG1OvKgmtFjsZXdcxFRRgLig442MpikokHMJoMp+yrN1upbXVe8bn7AlOlwOXS6HImd257eJh2ceUs0+YcMbnyk+xsXRXA8qaxxibEgRTlBS3n2FOE9VhKxcWTsVpdlLXXofL4uL9lx5inGsEuttDaP9+DBcNhWIHoBOJ+snPvwWjMQm3ZzNez8ckO0dJ4iJ6nK7rbKpq480ttSzeXs/+Zj8AdrOBojQ7TpsJm8lANBilpq2DDyqaqHXHRsrYTAamDUrnkhE5zB+Rg9N69qaD1yMRWp58CqNvJ84pIxk3eAxFI2LNxJo/jGIz4vV62bT7Y/6fdwOtqRZILeSdg4f4zgfvEbZH+GKGSoGWRAom3tg5AEVRmXiomfrUfbjcx/4Nyx+cwvo39wNgNB9N1Npeq6R9ZS0Ajok5pF5XRsfWbTQ8+CCq3U7Oz38GqZl9YpXjc4UkLHFSjCqqOf7aiUTpqUTqgzf/gur3oajxfZJKsjs4VNPYI+c+U2bVTHv47Cw4VpqVRGlWEgz5KQD+jbWYyoMs2vsu1w0fhTvopshZRI4jh7AWZrv+EWpWJqb8fKxDy6nf/CLF4352zHFdztEAuN0baW1Zg8UyirS0krNyTeLcFdV0/rvpEI9/uI9tNR4ykizMG57N9y9JZ2xRKnku6wn/hgTCUbbVuFm7v5X3djRwz0sfc9+r27h2XAHfmDWQwrSe76+l6zpe7xaMxlQMdcl43l2MZeBwjKmjUcaPZ9DhMi3/2kHHtmaChgjP2VfymqbgKwphiZgJGkO8sDObx54OccMCI3+ut3DdgSuZFC6hQt2FOemz7L1gC/uMsRrQ1v/8h2uvvRaAirUr2b9xPRfcPIHUvKFkD3B2xhba78GU4yBc10772jpSryuj/te/JtraSmjfPvYsXcqgTVt6/D05n0nCIo4r2ZxM6WXXYjDE9yOSbHMQCAS7dY7eqik1GUyEgqHeOfhJaMEI/o9bSJqaR4GSy862nZhVM2aDGZNqwmQwMXbu57CGTLGbgqJgnFRKOOzBZHIe95gu11h27FhKXt5I6ut3kJ+fj9N5/LJCnMwHFY388vXt7K73cdGQTH5w60RmlmViUOP7kGM1GRhfnMb44jS+dcEg6twBnllzkKdXHeC5tVV8cWoxd148mCRLz91WNm3+AS1NLxNedjMRQxmzrpyLJSeZJu8hos1NJKdn4Dno5dDmRpLSddo9AULhEE2BUdg95QSSdxPxDGfOhs2dx5xQrXJlcCJZuouDrq8CMP4/zxO447vU1tby8ccfc+Xsy3D7Gnn1f38FisLHSxbx2Z/+ClUd3Xkc57xi2l6pxJhlI/3zwwAwFxbi3rQp9n4NHx77PT9Xqlj6QKOCJCziuExWO0G/lyRXRlzlLSYz3roQB7c1n6AL73FEArDn3bhjcoZDrDi04pTlwlqYQSmD4j5uT2h7rRJTjgNzUTJ6RGP6oJlYsk+dWBiiyRiNycds7+hoY8OGR0hOLmHgwPlkZcU6BB86dIiamhqysrJIS0vr8esQ5572YIRfvr6dZ9dWMWlAGq/cNp0xhSlnfNwcl5W7Lx7MN2cN5O8f7uPPSyt5a2sd//vZ0UwddIbr2mhRnvjgPtJb3iL3MSu+WW+jD3+XJ377MurkfKp27iKr1cKMm77D5vccsY6tPviMy84AfzUzzUl8cOjzRDWFL21/i2WjR9CQWc4/f/siI66qZWPYyRJ/mPW5f2VL3lbaglHSfGGKtAxmhoZS98BarLfFZqhVVQNaNIKmde08axuajm1o1+vMue9e7JMmoTrsJM+bRySsc+5kLIknCYs4LpPVQTDgi7u8oihkTTFSlN+NP1TDP9OtmEaWzu1W+bPJNX8AoRofjond629iMjqPWwWvaRoZGaMZMuSyLtvz8/MBqK2tZefOnaSkpJCTI31cxPFVtfj5+lPrONji59fXjOTmSYU93v/OYTFy+5wyrhqTzw9e3MznH1/NTy4byq3TS077XNv/8huWHTJDdj7jJ1cxPMvH9s3TUEw+3jUe5ODkRorRMLzxJ4ym73Ok4fo/Bx7Gonr4++AXuD5jIR9ljeGROV/ngl0Bbtv5DMOuruOlQ2NossSmT9iWe4CAGZ690MAb+bNQl3o4kmBkFBZz+R0/ZN/GdQyeMp2SUWM743th4Vo6vGHyBqeQludg3LxYR1zVaiXlumuPXogSlT63PUgSlnOQ1t6O74MPT2/nw39gUtuD7EyuYd8hT9y7lqaUnt45zwGKScVS3HNNNapqQNdPvCx9bm4uubm5tLa2smvXLhRFITc3l+TkY2trxPmpot7LzX9djcNi4JXbpjM4u3d/NorS7Tz9tck8+PYufvH6duo9AX50aXncSYumaSz6yeNs2rmHvwyZBUDewXKy7RvYXKVyqacUS7GCpaGZRtXDSwNe4o7P7eL9xQZyW6OYTLspKHFwyaAO/hL4IXX+coy7PRg0N7eVN7Ou5QAbPBdw1fcfJBR0Ekjayt/XeDhSF5wTeZ6OGV8j6glyaISP2/97DSbVxC9v/iWD0obQ9Je/0vL3v2MZPJgG+5cA2LuxkV2r6hh1YQFBJcDt793Ourp1XFt2LT+f+vO+0IpyTpGE5RzkmDQJ65Azay5IAjJ7JhxxElEtQCBYh65F0fUwuh5F1yNs2foeCmlUVVWh6zq6rqNpWpfvFUVB13XUwx2jN23ahKeujqjbQ4EzmcG5uVgGD8GYldlnR7WJ3nGguZ2b/7qKjCQLT39tMulJllPv1AOMBpUfXzaUXJeV+17bjtGg8INLyk9YPhwI8+Fzz7HHf4CHrS/wjdbf8Y+yo83Qv/S3MES9FIBnMrbhD9fxucAMnrF8yF1ZARq1LP42z8W1qWF+lGbGZrsFk/MiJj7+MYNbPTyDSvaUPGZdfSnTrr8Bg9GIb+lSvO8sJnf6JF5rDrBV87HEbueutD3cPj1AeVo5P3zna4S1MHva9nD9a9ez+YY1NP7+99gnT8a/ahVJMz7DgItHUz4lhxcWrqOp2scmZSVr69YC8FLFS3x28GcZ4iqXFqEeJAnLuUhRaF9Xj7kwCVO2I9HRiJNwJo8kEnajKAYUxYiqWlBUByNH3ICiWFFVFUVROr9++vtPKisrw/fBhyR99rMA6NEowd27Ce7aGevhfDix0SMRTHl5WIcMOevXK3qfNxDma0+uI8li5JmvTyHNceppCXrardMHEIpoLHxrJ6VZSVwz9thpFl5+6U2qF3kJeZ6lfdxwNHuUBsty7tq9k6XZQ0g16BwkTEqHnWxbMbMiI1hEHVWGZsZWrOZQzhRM5QEe1P+H/JZDVLZZ0LQgGcb5ZFbdRCYGfoaNvPmxhMloNhM+dIjq796O6nDgfuUV8u77GZuT3ueDth14W7bx/pvf5rNT/kUkeS673O+BPZ9ByQOp2enGNuV6QlUHMOZPxOhMQwtGSc9LQlEVPnyhgqzRBYxrnEMwGkRHJ7DFxnZqAIX8Ialn+V+gl3RrYrGeJwnLOcg6OJWoO4jWIWtY9HVW6wkmqOuBD8SKwYB16FAYOvSY18KHDuF97z1URxL2SROlBuYccu+r26lzB3j5tukJSVaO+MasgVQ0+Fjwny2MLUylJCP24UnXdT7+4q3swU160u1ETIOZdjCPQPAKTJd+xKRtdVzc+HX+Zf2AA1gYGXSCDt8ba+NLa1PJXfQwkUlfpLzsANX6vw+fTcHhKMXr3YZH30C6flNnHIoxlqi/0djGIwfbyL35K3z3tecxA0pyBv6UEjyN6wnWXkckKZcnXtxOeMhA9IxYojNjdxCWVmDMvhjj4emcdG+EYJUXg0mleEQ6B7Y201jlZYp+VWwGchRWHziAruk4XGZGXXTm82IJSVjOXYpMsChOzJSfjyk/n0hrK953FuO8ZF6iQxI9YOmuBl7aUM2D14+KzQ+UQIqi8IurhrNmXws/fOljnvvGFNbXVLHo//7MtetX8f3P1lIduJPKyk04tizmzZ88yJ+WT+CpEjP/03g0gf5X2i6ax0b57ZZMisLjePLLo7jpnf8S+u7bFE4Ywb5L51G3vYysYasoGTec0kE/5u13/kiozschfwXX78sic9Bgvrv9ICOSbLw2Yw77R47lP8k6P1ZeYWnFUrRgLmH3RHDrqAQZ49X5z5WjUBVYHd4L+2rZOTOLOfNK0TUw/OjDzjWCLv/Oidc3++ilPexaXdfr7/X5QhKWc9Wnp/kX5xU9FMK7dCloOorVgmIwoEcinT8TpvwCrEMGY0xNxTZ6FN6lS0m+8MKExizOTFTT+fWbO5gyMI3Pju8bn+jtZiP3Xz2CrzyxgiUrvsuDey9kmtWK9xKNOwvu4AeVKinjv8876ga++NKfMQz6Krtym/lWZi437hrLGkczbw8ZwY27q2nYm8qNVycRVhXmv7EbOxBdt5s9yXeADr4PZnDhVTMId/jZtWclhcNGEtoeYMXz/+K6H/+CfKuJTd7YjL4Xjx5K8oBclj55JwCqpR6ADKWdz1h2kLZ3APU/DbFrSiYp+bHOyu2BCNGIjhbVQIsS7AgQdPs6ayf1qAZH5rSJamgahAOhwzUu/Z/SB7oQK/o58G56PB5cLhdut7vXJtUK7G7FOrj/tENGfSGi7tAJ17gQ5yb3a6+jWMwoRhOOGdNjfV2Os1aSf/16DKlpWAbG5ndpef4DnHMmYDy84Jvof974uJbbntnAy9+ZxtiivvW36r+vzeP/W3EXmfYOUtMMLGtTmetRmZJ0kI70JdRv8pHkMZJkyaLlwjD/3H8lbyk/Jllt5Gu5uRwyuLguI4vGSD4vrP0MaSEfs3Uzd1piHXQDWuw29i/7ewAYVYVoKIS5sQZ/SOWf2ddiM6kYLUaMgElR0IFw8mtcue1drv9QY89NKbyUcRll9VEuDY0lXzvxwIXl+7bQmnrizsSfZIu4+crfrjmj968vqNreQkF5KkqcEw3Gqzv3b6lhOVdJDct5SbGYSb744lP2SbGPH0/7qlUEKw8R9ehEGtqIekNEWgNYBqVIn5Z+6Jk1B5hYktqnkpVIS4Ca36ygI28Qv3z3J2wbeScG9xPMGxtkqPEADVlW0u63E2pReXvYEHaYUqjbWoDfbCcVD2qrmadqm3jelU04OcrW+ti1TRo7iCENjXB4NRAjEba2foDNqNNhVijOLaJ48EBWPf5/7EmK9eHqCGt8e1oeB6rraKyv48qVrzGh8ugMuIZ3FcaN3syWqVN5f4+RUY2xaQWSrDrJ+U5smXZMxthCs0Pe/gleZzEpN9/cuQ7t0d6oeueSJu6338Hadgjo/wlLXyAJyzlKUZDhdOch57z4+6I4pkzBu2wHqdcd7ZQbbQ/TsbUZU7YdU1bPrw0jekeDN8CKPc389voT96c4G2qr36Ol7T1CHc1kvvQ5Ag07mXndWJ7ZvI0dEy/go2HZDN9RwDt7t1GV+QANm9L4m7KQ/EAzky/bwgWNm3nlwBe4sM3EoaWxGo7WlDI6xtxJZCm8e6Ed86FmfnTZUCqXN1F/8AAm1cJ+31YqPOsxeEApHYWvqZZZX7+Vjc/8nbHOHVSp5cw1V9C+ai1ZCmTqdCYrrT9/EMPuVezZvplom0LJTg+mnY+w4/A1WVPvxtZ8gC/+6XJqP9pBw9YqIjYXSU4TY7512fHfiMPq3VtpfVPWE+opZ5SwPPDAAyxYsIA77riDhx56CIC//OUvPPPMM2zYsAGv10trayspKSknPc69997Lfffd12XbkCFD2Llz55mE17P6W23F4Tk6hDgZU07XVawNDhP2kRmEG/z4Nzdizk/CmCHNRH3dB7ubUBSYXZ511s8d1XRefOF1qv/zGGO+GbvNV/qzGWC4nszmbQzeYac6aQoPJM/i7o/9/E/+q6DBS//5NQNqFZ69eDS3ZM5B3ZTFK/pm1EgFSukW3M4ydo+IckAv4IlMC2kNLTjWegirJvYc8mDPz2Np3cNMvuMXZG8KMe7gXGrV/ayJ7Kc+GOL1x14k5HWTnRfhKwOe5eDe8agKTLz4GmaNHcL2pUuxNzag//lBVmclkWdLYvRdP+L5l1/pvDbFEPv96DClsPGRRazZlQw4GG/swFGxkh13XBa7N+h03iN0Xe/cprxfhZ6dcnb/Qc5hp52wrF27lscee4xRo7pm9H6/n/nz5zN//nwWLFgQ9/GGDx/Ou+8eXVfGaOxjlT/9rYpcaljEGTBlxWpYwvXtdGxvRjEbsAxwoRhO/HugRzQ6tjdjLUslVONDMfbs7L/ixDYcbGVwVvJZmyAOIBLVWL2vhXtf3YitYisXovJ82+eoXDeIH0XMfNT8EnummPi8cRFPWy7gL1WbuX/gSP4H6ECheLjG4FluLIzmZksZ2elPUNzixp+s8e9R/w/noT8wMLeCKkMaVy56nK+9vpaGtEGsGXk7u/68g1atDkNKBhvffY3yUB5JuSuwGv0Mc9fStseNt+IgajSCIykZV95aGmrKMRiCGH0P8eGyTWzPyYeco338rKPHYTQYQTUw84ZbqXyuFqc9xLArk3jzv57DyQrYwq0w8wDh1Srq7tg8KwCd6wMoyuFNCtEBGuGh3VsUVpzYaWUFPp+PW265hb/+9a/cf//9XV678847AVi6dGn3AjEaZU2UnqSA5g8T9R5dtVi1G1EM6kl2EqIrY6YdxWRA64iw9qENdOQ66Ejy4BnSxoj8mTSHIhj2uhmbHGs+MucnEW7wYy5MJrQ//mUdxMlpWgRd14hW11L92is0btqKYcdBlkyehbNkNgWhrbTkDeNjr5+RSbZe74PUvnYtw19qAGCKw8ivskz4CvaTEm3CkPYhgddaKbWXkYSR3YNG8YOGv9E+6FZmhVaTN3IRlzfdybejQW7ruJUbVixjfEYjlft0wIWi6Vy5dQOetLvJKf4qeSUfMC3TxIr5vybiTydZhwaDhtlmJugqIajp7HDsRR35PACpfzOQs8FAWFWpGTkAf1s9qapOQYFKTu6bKIpOODwNaO1yTfkjXZ19T6y/+Q1jPF6S/v44hdMm8fULAuiahmowoJqNLF3+Q9rnaMyZvemk71NFxa+prYl/gVdxcqeVsNx2221cfvnlzJ0795iE5XRVVFSQl5eH1Wpl6tSpLFy4kKKiouOWDQaDBINHs1aPR/4wfppiNmBwWoh6DicsCoQO+bCVywq/4qiIO0hgdyudPQd1ncPzXsU+JKoKBpcF1Wpg/DdHothNLH1zM001Xn598DVuypqGw2nCNvjoz1XnSCNpkjwjejhK6JCPxl3LWFB/Lz/+dQe1OTksv/ACKMiHgnzmLXqdmy+7jHXvhfi67zKGL/khyfpU/rlrHbkTx6ENGEBKcQmqwXDcc2iajqoqhCIa+5vbWdPqw5FswNjUwKB2jWgWlOaXYbPZ0CMRdix7m5aX/kv6ex+QcuW9hAuteOv2cU3ZP5iwMR+1/nuMDRnZeunrXPbUIiz2m/Ha3uZ3vq/xwH/+gONhP0uXlDN8dCbv1uZyHTYqr81lRFMuESUNGvdhaa4jYN1DdmM92/OuY0duhEOGdma//QCe5DE4y8fgsBmpb/bTUJ9JJDuV1KJmANToBKK7GqnLysd2xWWw7mnMxR42MY780aNQGl8kYkiFomtw3bAS965DsR/0TR4+/O8HWIbG/l6umjKNme+8je8rX+XQNbdgpgqDwwC6BqrKk9oXqDWlsrH9WXRdR1EVtNY2cr1V5KZEUVUFRVXw1W8kj1l4tIMc+aVSjtTAKHyiNgbeDSwnkAeqEkuajiSdiqLQ+V8wRMH6QwxOKgGjMVZGVUFVUQyG2EFVhfYOhS17zBRNH4zVYUJRldipFKWz5l1HR4tGaa3ZiSvThupRyMgowmAwHK2d1w//TweqfUSLkjAmJW4ywm4nLM8++ywbNmxg7dq1PRbE5MmT+cc//sGQIUOora3lvvvuY+bMmWzduvW4i7ktXLjwmD4voitFUY4Z0hzwtZ6gtDhfJU3K7Vb5ULWXXK+VfR0+7p80nZLiY+f70KM6wb1tYDzz2rxAOIrVdPyb7bmmqaOJnRs3UbIICFmIeutQ7ekohlQys0YDqwio7V322Zuez4zGCAfUVNbY7Hxn7eN4BrvZ8sFe+McT1DvtrB+QR2ogxKz0fPbnQuPkSaTuK+Ot2ijGspdINvlYsnM6A5sPUEcekTEmrli7hP8bV0VtcgdjfNn8pvEAKw4UYFCnUUMjQ/83RJ1jCHM/fIup9nf4eH8aqcqXGDHmQXKL97Fr53RMms4Hl7gY+P5YfFN0dpXlo1Y5mG/fRpbNzedMH/DGxDV8e+MB6sO3sty6hHajEWdRGW1JLuqDLt4tn8EOxcScAyu4rnoVqXyEvmMlAK6iwcyb9j4A/9l5N+SCZljHjvL/hze5GH2PhtE+j3V4+ZdyOfbGdv4KGKOtcPAH/Cv1F+ycegsAnz/0CLmNh7Bu2Im5uICaVBctqamktbbieflpFEPnXR4dWHXrpegBJ39bZQZ0NFRm1O1B9e2k0RArpGsKo1PnkOWaiLupunP/zoNAZ1+XGmMDPxv4a9RqtXONsFjJ2H9HTN6p8b2XNWpP8bNUmz2ZiqFfpKJix0nLhf1LiAY3k2ktZHbu52hj1wnLKoA3qpF6+cBTnL33dCthqaqq4o477mDx4sVYrdYeC+LSSy/t/H7UqFFMnjyZ4uJinn/+eb761a8eU37BggXcfffdnc89Hg+FhYU9Fo8Q4sQGjMtigHIlBGPzE32SrukoBgVzkRPVcmaJxuq9zWyt8TBtUDpDc8+dvjDhYACjyYwW1fi4Yh0frV1H474mtqRu4Q+1d36iYAdaewMGZz6XWhz85icaFl8L19e8w9vRq3lPLaX1kun8pCbMu2o9b6Rk8PvVYQqsf6NmhpGGSTa2NqRAk051+Sjeb2phyiur+ZtlNZkpk7iHr3BPVTZLBmhkTdvBlfaPSFk8m6THV1J40TQKPYf4pSGf8tBBVm24nIK0NoblvsBT+8aAHe7Qf8va7Ck0tleTXnMHVyT9H+48NwAhQ4S7Zt5GwftNFDfsx+i6iQPW/6K/FeL5L8/moY2bcasqW/dOYEhBA8V7v8WEgrG8OqWEyHIjLmB+ZCQPJyuoDR0MKRoMgO8vf2PirOkABJY9T/j991lts+ItzcKv/wZFgWaXjYxMAzfcPQktPJGHVlcBEd4ZW4zFsBSjakJVVHa/tQ9Dq4cxSWb2zLiVm2YMxNYawfn0HpovLWLMffcRCHTw0V8+j9qxgvzr/kFZ6XwALE+OBOCh8Q8yZ0Ts/vWrezbiUfL5xd8eA2Kdb7f99lXam7yU3/eZk/5MrFz9DOyE/x39ABePufSE5ZY+/gvg3xSv+Qib1RFLbDQNNA1d02IJkKaR+vE+djzTyoxpRkqvnIx2eJ4a/fDXIzU9K19qYsu7mxk991rYBsFBGiU3Te0sE/sa+6bmd+shop30OnpbtxKW9evX09DQwLhx4zq3RaNRli9fzsMPP0wwGIxVJ52hlJQUBg8ezJ49e477usViwWI5e53LhBAx5oJjazxPpe2VV0i5+mraV67EPmnS4arrU5tQkoYOvL+rAU3XGZ7n6va5+5rPP/R1TGqY71bOIdtWwmuW99CU2E3EHjk6jLx97zuEm3egf/VG3nv1d+QPrOIL+RF2vV/O7spk7iyayp0aUAOb/CGW5RykuHk221JVfpy7iFrT4T/tJT5mbbSSF/BzqLCQxr17Ka1pwJAUey+n+NsY81YdqqIRzR5Na3uUjTO+SVLYw6imL2DxJrNowF+wXL+fsi2r2L8smaTifDasKuGi4gPcNmUotuwPCaQ4qH2yhdSPXmB52mUMKZ3PQ/tgZ/oANpVG+FLr04QARde56sV/UldmxaVpFATe5+P1X+Hb9kF8ZdKjXGXeQKbyO/ICDjCA5YPYDLSLvfV8FmhrDXS+R3pHG0+5knkoLRV8fwZfbPu3tD9QF63H4orVMAeSGkCLUJratTbQtH4tig7brQb0QJTrNzUzCJUnScK1qZnW1ghz2j5L2BUBVybpy7/P0sMJiysaxW0wcOf6HzJhxTrSGuyoWrTLEmCxJp34Rj+YiE3uaDGe4r6mxRIG1WhEMZtPOPess6wIaEWNBHGknPiYOQML2QIkDx9A27atWCosBNp9OHKO03XArCa8lbdbCcucOXPYsqXrmPJbb72V8vJy7rnnnh5JViDWqbeyspIvfOELPXI8IUTieN9ZTLS5GfukSXjfXYJiULFPnIjB1TUBCWthFBSMqpF9/iBBXWPKwHQ0TafRG2RlZTNTB6Un6CrOgK5T9+4fsK+4j1b/L/BGvXyUX8k1LSXMD4/lHfbgdA9hYHMyKwtqiTRvpEbZAhnAf58EoGbVt9i3RyNgaoOBHqqW/JiGwusZ98ObGGyK4Fh6ISN3JLOiaMnRZOWwr93wK6zmZBxRP5GZY7m6II1BXju8cQe/mvUwANn+KpKW15MbamWycx2j/CvY7ruMnzbsoUrPYJdxAsbXdhG58D4uTsll2aEIQyaU4BwVmynZBCR/42fAzzgy/+v+yyEYieLumENWspVVe5v56p/f5Rcl9RQVF8Blz3NL0AtGC1dqRv67ZQqmyL/Im2yBj8CQaunsF6sdvjVnv/wsVYtfBh22Da2NJSvADQNuYEvrVpqDsb4s9qYM/v2L1eiazqsjjZBmZNLK7V1Sh8N5InlWM4cCHQA0oLHdoTBcg9ABD+GUowvIej7RwtmeNBc63iclmEJxbZRkaqkenkpD6Nh5cOK5xw9OLwPAoZ285eJIDYmqnvxeq0XjqwlRjbFEKRoNkXPrWPx/30fVHz8iSABVVyn8+hRSBsYWaFX6wAJ13UpYkpOTGTFiRJdtDoeD9PT0zu11dXXU1dV11o5s2bKF5ORkioqKSEuLZW1z5szhmmuu4bvf/S4A3//+97niiisoLi6mpqaGn//85xgMBm6++eYzvkAhROJEmpuxjRqJbdw4bCNHYhs5El3X8b6zGPuIUoz5sfbw9nA7P1r+I8pSy/B/VMKmUWl8d/eLVI66G2dNiIoWH3mjs3jj41ouHpaNuQf6x/S2UCTEiqfmsdh/EMOOVG6tu40/+Hfwki2F3TktfFj2GCnbPWSYriKimWjpcKFv+bBz7o/c0iHU7jncp0AxYvcUYQeaMldiCAVosWbx+t+3Y3EYGeGN1Xz5bK3cN+0+ZhfOxhv2kmPPwWToujRDZw+ECR/C+5sAePZ7P2Tz6FF407LJ3z2I7ZqNjiEHCLsqeU39Cts1J2v+x8DzB2N9nvJLk0mdN+CU74HFaCArOXZz3VbjIWxxcsW3Pnv0388euycYgesmDgN+Hdt+ZWyY/Kp9rVQrOqt211K/fwQFbc3oxnQCW7ZQW+OGq2O3sFcPvsqYrDGMzBpBx7gDDIgOJSstFUVR+J5B4yklwgVZKYf7ucaSn23TIzjaIwxMsXOwxc/oAhc3TCgkxX60U+njtY+zrHoZto/+RFnwaO1O0DEOQ8f7zKmZA8D3+CvsP/LqbZ3lUlpSjw53PglVib1Hp5o7S9dis+8eGc10IiF3rK+T2XHyGhtFPXJejYwhxVQrB0nSXBDRSTKm0LazqjNh6QNLCfX8TLePPvpolw6xs2bNAuCJJ57gy1/+MgCVlZU0NTV1lqmurubmm2+mubmZzMxMZsyYwapVq8jMzOzp8IQQvUQLBPCvWYOalITm70Dzt2PKySH9a19D+cS8SgoQfO332NO/Ae172LRpH8uiByk2JJFa10Guks7tI8pRNu/Au+JZksbezPCrBvHR25Wk+cLcs6Oez08pYnxx3xzx9sOPP+CVg5vw2KcyrPgrfM7zBPdXf5+Piyr4ddsFjNzwGJNqr2WnZQDfv8xK5PDaLFct2cTgir0Q3kvBsJHc+POFVO/YxZJ/rMXsKCU110FL6CCjB01g4n0LGNwYoHpXKwFfmJpAkJ+vrOTpzz/AsLxYf58Ua8opY625YDg1je9TPXgQO4fGZjwuTSrFktrOgCkvsOfVIoJRHziyqTn4Gy5Qa1n05UlcOLik2+/LBxWNTByQGneyqRhVcsrSyQEmlGbAZS90vhZpaiJv5y5utFmxjx/fdcepXZ/OAD5/vBMMPHWH80m5k5iUOwnqa2HHa53bxxocrLMMY2vmfkY0lvD76OeZzAae5SL++In9A7YA1o44+nuGD9eInOq90eOrYYmGYjVDqunkx4uGYwmQ0Wgg3HF05G2SMQXg2Gkw+lOT0PF8er6Ve++9l3vvvfek++zfv7/L82efffZMwxBCJEjU66Xx979HsdlImjmLqMeDarViys/HNnz4MeUjzc0o+aNpe+tDMm66FIfdyFUF1wLgbWlm5C3TY3+YL/8x9sxyItEUAjtaGFeSRrQ1wJQpufxz1QGeXLaE399yFQZDLw+z9NSib3gS35oPcbtHsjJ6Mf8gxDaiqApoOtjsChlF69FMb+OJuLEAcw49zL9q61CAKyzf4Tttd7DItxlr3iyuMhdSVhPh/wbrtFhiCYs/YyRULAfA7ow1lxUMHcKXfjPkE8GM7PwuJdtOSnas30swEuUnm/fzxpaazoQlHqpqoiB7Htl/n8G+h/6FS7dT4bXiKo6NQ1HNGjjScGHC3REmqjnIO87IsFNpbQ/x0Z5mfjh/yKkLx8GYkUHSjIweOdYp1W+DdY9D6gDY/BwAdk8dOalf4YYLJ6JpOu+uWoV3lY2C2t2seOUFbGYzBpOJULSFVD0T3+raTwxnPvz18FBjFAjWxDorv9e8lLYDsdoRpXNuATqHNTdvWkMu4F+5CtVkRjEZY1MRhMOxRyQCKAQPNACZHNgXwbi5sfNSFEVBMSioBgU0aKyKTQnScKCCUEsDSagEDQGUPDOKSSWnbFBsEkhVgWjXEUuJIKs1x2nbB5uwRY9d9fZEgoEAAwb20vCvI/9kRyaH+vTzEzDlOjAkJ24MvTg36ZqGHggc8/PXvmIFttGjUe12FJsNolE6tm4lfPAgzssvR49GUU+j83xr62oCETuvbljFteMGgKKQkT67RydL09rb8bz9Do8/9zgA24c0McHp5QqPCUL/B8B3aWcT0c59TIPdDE97noPeg4S1MAA3u738uCXWEWOdcQAfVN6IzTKZz6SYqJmZw9qRLm4ryqIlHCHVaKCtvpaWQ9WUjB6HoZuzff/0la0s2lbHintmn3aTWSgQIdQRYffaekLtGyidMI6MwmIA3B1h9jb6Tmtxxb8u38uDb+9k1YI5Z3U23h6x43V47pYum+4f8A0eLuq6bfzmFcxe+RZGuwMiEaKRMAMdoxiXcXFsbpWT3GmbjG18qfQnnR2wT+Sul6NM3XnqW3ZUNfPB9AfQDCd/r7VoMyFPrJ+UQTFxecE3sBmTTljeNj2X9CtKT3n+7ujO/VsSljjt2bOH0tL4/6EqKiooKyvrlViE6A+0jg5CBw6g+f1o/g4UVcE6fPgxnW27q67uVayO0TR7AwzKG0I47OHNbb8lJX0udttAJqQXnFHysqP88GKQisKbo2IfOlRzOWWpl3MgpDMl00h2WOE7I82sSTOCWQVVweZ5kwEdS2gMNnQe6yttbu5KKgeTjeC0H7PzQB75DgMmdwjnxcWxT649ZE+Dl4t/v5z7rhzOF6eW9Nhxz5Q/FGHWg0u5YHAm/98NoxMdzumJhmOTxnXOj6IQVo0oStfEUAGMn/g31bRorG7kcJ8T/ZPrDmldnwf1ECE13Lnvp+diOfLc6gthjtBZqwKgWCwoRmOs6fXwJJARTUWzdk0+dF1H13S0aOwRCWus23+IqYNTYq8FoyTZUmJXEo2VRYt93VbjZuiobGz2nv3Q2537dx9bsEcIca5QbTas5eWnLtgNbk9shV2ijbhMPqpXbMeQZCS5w8+A9DH8z+a1jNvXyk0uK2lpaWRkxN9s0HGwgb1N/19nH8lBixeT+bsH0fY14UuZx8FQ7IZx9axkwkaFX5fl8zmDyq7at/lX5RLKaKEh5OH2sbeTbk2n3O9jWOFMSI8lPRZgdM9+OO2iNCuZa8bm88clFVw5Oq9L59FEenTZXtwdIe6c248/wH2q47ICxPPufrqvifKJdYYwdO3HasNIXMuMxrkWabw3d2t7Kq6sUy+aGYqEURI8iaMkLL2kt9fyEOJ85HKOxqBasVrzMBiSCLa0Yh2Sxs41JvZsW8VYZRujwyPYvt3PxIkTWbtiNU57MmUjy1E/1Uyi6zqRxg4iLbHRH6FqP1mj5xO4Crzvvs3Be3/KDKMJtTCd9q2/pSGcQ8Rkp3LOI2g6WI90SMz9HD8f97nOYybyd/+e+eW8u72en7+6jT/cNDZhcRyx9ZCbP7+/h+9cOIjCNPupdxBnXbw/r5qmoyb4viYJixCiX0lKOrbj5kWT5qOFokzdPR5DioX1ylby8vKo33yQrNx0/rL8T4wcMq6z06Cu61g2Bhk3bXqX9bUiqkrqFVcSaDqEFvER8jVDIIpr6nTyRo/GNnoM5pMMKU30B5Vsp5VfXDWCO5/bxITiVL6QwKahlvYQ33l6A4Ozk/nu7H5cu3KOi7dXSFTXMfRgE+bpkIRFCNF/fSJBUM0GbCMyCDf5MXsUdizbhMVuJXVgNoMbS5meP73LrusPfti5UGNwnxtjpg1Nj+CYPouiiWW0ta0lNXUyZvNZGo3SQ64em8+mqjbufW072U4r84bnnPUYfMEIX39qHb5ghKe/NrlfzJsj+j5JWIQQ/VbUEzxmPSOA4QOGsLp1DRo6DWveJhgKHlMmEgqx/qMP0dEpMRTgdGRQfehJ2n0VeLybGTXykbNxCb3i/10+lEZvkO88vYHf3ziGK0bnnbVzt7aH+NpT69hd5+Wpr06SpqBzhKooaLqOIYEzyEnCIoTotxwTTlx7YDjk4IL8GSd8ffKFs/GH/Wxv3s4evZ4pWQMYm/VUb4R51hkNKn+4aQzff2Ezt/97IxX1Xu6YO7jXq/R31Hr45j/X4w2E+efXJjOmMKVXzyfOXEtDHf+ure0yO0Z7+y6ys9P5ZLfgZq+XyQMuJ66pe3uJJCxxaj0Y4qMDG+IuHwyEuzUMWgjRs5QTfBL0h/1sathERI9gM9oYnj4cu+ncqwUwGlR+f+MYyrKT+d93dvHBniYevG4UZdndX8DyVMJRjb8s38sf3q1gYKaDp782WWpW+olRufZj7lWbNq1izJgbumxrbv4AwymWBOhtkrDEKTs7m6Lh8S+8dnBbcy9GI4Q4lVRrKisOreiyTUfHYrAwIWcC5t6eIbcPUBSF2y4qZcrANH7wwsfM/8MH3DixkO9eVEpeSpzjY08iEtV4c2sdv3tnFwdb/HzzgkHcMacMa4KHv4ozo6rHmw9FP2bembNNEpbeIqOahUioYenDEh1CnzG+OI0375jJv1Yd4OH39/Dc2irmDcvm2nEFzCzL6HaCUdno482Pa/n3moPUuAPMLs/i0S+MpzyndybuFL1H045d2TnRo91ORBIWIYQ4D1hNBr42cyA3TSri5Q3V/HPVAb7+1DrsZgPji1MZW5RKaVYShak2Uuxm7GYDoYiGPxSl1t3BwRY/W6rdrD/Qyt6mdmwmA58ZlcuXppUwIv/MZi8WiRMIBE5dqI+QhEUIIc4jSRYjX5hawhemlrCnwcvi7Q2s29/Cv1YdoKU9dML9jKrC4OxkppWmc8+l5VwwOFOafs4BdvvJ+xpFoxHC4QDRaPik5c4GSVh6S79foUkIca4rzUqmNCsZGATEFjisbvXj6YjQEY5gMqjYzQaykq3kpdgSPnGYODucziK2bHkWgECwhSRHLk3NbtLToxgMiUtSJWERQggBgMtmwmWT5p3zSTAYpKKi4lNbM/H5FEKhEIqSR4cfWloSn6xKwiKEEEKcp4YPH37c7SaTiczMTBwOBwD79u2Lexr/3iIJS5zaAz5WLa6Ju7zfE+7WMGghhBCirygpKWHr1q2Ul5djNPaNVKFvRNEPmFxhpowfGXf5PXv29GI0QgghRO8aOnQoW7duZfTo0YkOBZCEJW6JrgoTQgghziaDwYDLbOTFP/8BW3oWhYUFCY1HltCMUyQSSXQIQgghxFlVXD6MJDUXs1dFixw7ydzZJDUscTrebIBCCCHEuaZqZwt6NNaqEAlrFAybjjPDismc2OUsJGGJk8ViSXQIQgghRK/b3ugl3BHtsq15u4dbhqRiTOC6M5KwCCGEEKKTJcvGJUOyumxbtrsx4RMHSh8WIYQQQhxD13VW7W3ufJ7oRRGlhiVOoVAblXvfB0DXNXRNA3R0/ejX2Eii2NfmFg+lpaWJDFkIIYToNrNBZemuBtz+EO0tdXg/fj3Wj3PQ58FgSlhckrDEyeXaj90+EUVRURQVFBVVUQDl8DYDikLsNRRSUlYkOmQhhBCi26aVZoCnFqrWQmkORItBUUFmuu0frNYsUlOL4y7v9yf1YjRCCCFED6vZBC2VEAnBuz+H8bfC8Gtir+1bTqJX9ZWERQghhBBQuxksyYRbwkRH/i/ggPeXAKC3VWHNn5TAMUKSsPQimRlXCCFEPzL+SwCENzZgH9t1lFBwbxsoiZ2HRUYJ9ZrEL8UthBBCdJdqP1FdRmI/iEvC0otk/SEhhBDnAl3TQYY1n6sUYtmo1LQIIYToP8LNrXS8vD02KujwbSzq1jEXTUNJYD2HJCxxikTC+L2th2tNDichqoLCkcl0YttiQ54hEg6S6OozIYQQotsiNbiumAaqgqrGEpT2NWtAi5DItEESljg17yug3bkl9uRI5QlHmn100PWj6Ymu0VrvJyMDDPIOCyGE6Cf8GzYSqqgguGsnGV//eud2RVFkHpb+wpGcQfGwIXGXrzK1JHwaYyGEEKI7fMZUamrANngIzc8t79ze0djGiBGjEtrxVRIWIYQQQgBgzc8m5aorQYHUHAfODCuKolC9qxXFmLhp+eEMRwk98MADKIrCnXfe2bntL3/5CxdeeCFOpxNFUWhra4vrWH/6058oKSnBarUyefJk1qxZcyah9TipKxFCCHGuc6bbKCnyU2zZRLR2B3vXVrNlaTWKAprWT4c1r127lscee4xRo0Z12e73+5k/fz4//vGP4z7Wc889x913383Pf/5zNmzYwOjRo7nkkktoaGg43fB6nHSfFUIIcc5qroStL6FXLEbb/Q76wFm48lMZYF5Bqe1D/CuewaBqCQ3xtBIWn8/HLbfcwl//+ldSU1O7vHbnnXfyox/9iClTpsR9vN/97nd8/etf59Zbb2XYsGE8+uij2O12/v73v59OeEIIIYToDl1j08791NbWUhuwULfyBep3rKSuXac1qhDKNJDYdOU0E5bbbruNyy+/nLlz555xAKFQiPXr13c5lqqqzJ07l5UrVx53n2AwiMfj6fLobdIkJIQQ4lzlTs5iU0Y6K2w21jqS8QwYz6G8Mj4wqawwqbzj6CCiRxMaY7c73T777LNs2LCBtWvX9kgATU1NRKNRsrOzu2zPzs5m586dx91n4cKF3HfffT1yfiGEEOJ8F9WjpBWm8ZmBnyGiRVhRsQJ/0M+Nk24EYF3duoTPjd+thKWqqoo77riDxYsXY7VaeyumU1qwYAF3331353OPx0NhYWGvnnOLv4PViyuP+9rxal+qWju4vTQl0f++QgghxCmlWdOYXTib5dXLMakm3Lt2Y3LYeOPdpwBocTcw8ooRCY2xWwnL+vXraWhoYNy4cZ3botEoy5cv5+GHHyYYDGIwGLoVQEZGBgaDgfr6+i7b6+vrycnJOe4+FosFi8XSrfOcqSSXhcsnFsRd/sOKJhRVGpKEEEL0D0nmJC4svBCAJq0Ao9lCSnbsPnzg402Y+tOw5jlz5rBlyxY2bdrU+ZgwYQK33HILmzZt6nayAmA2mxk/fjxLlizp3KZpGkuWLGHq1KndPl5focu4IiGEEP1UUmo6y/75eOdzTYuiqt2/x/ekbtWwJCcnM2JE1yohh8NBenp65/a6ujrq6urYs2cPAFu2bCE5OZmioiLS0tKAWOJzzTXX8N3vfheAu+++my996UtMmDCBSZMm8dBDD9He3s6tt956xheYSFK/IoQQoj8y221kDxiErmm01u/n4O73KBk9BkVJXNLS4zPdPvroo106xM6aNQuAJ554gi9/+csAVFZW0tTU1FnmxhtvpLGxkZ/97GfU1dUxZswYFi1adExH3P4kwUsuCCGEEGcgwsDpOWxY8hdS8woZMXcqmhY5rZaUnqLoev+/tXo8HlwuF263G6fT2SvnWLa7kQsGZ8ZdfvnuRmaWZch6QkIIIfqN9vZK/P69qAYbKa5xGAx2AFpbV+F0jsVg6Nn+o925f8taQr2k32eBQgghzjuBYC0ZGbOPafrR0Un0528ZdduLpHZFCCFEf6KgouvHmdNW10l0z0ypYYmTWdvNa+u2xF2+tq2dCwZf0YsRCSGEEKcnENVY3urF9KkP1v6OJCLuVdBZwxJrL+gI1HO9S0loLYckLHEanBllavnsuMs3Ny/vxWiEEEKI01cfCpNsNDA1JelTr4w6bvkPW71EFUNCkwZJWLpB13Vp5hFCCNHv5VvM/M+Og9xRHBuNa1AURifbSDEdPy1QURI++lUSlngpKrGqMUlYhBBC9G9GVeG/48o6n4c0jc3eDhq8btrq/AzLcTK2wNX5uqKQ8NWaJWGJk4KCrmsoivRTFkIIcW4xqyrFbVFyOhQKxhfw4isVLFtfQ2Z+EqMLXGgWBUOCP69LwhI3BRmsLIQQ4ly0e00dfk+I3NIU0GFouoPhBgWHzcLaVXUcTDcwadqAhMYoCUucYjUria4QE0IIIXre4Ek5NFV7qdvrYfWreymfksPAsZkYTQbsyWaqdragSh+W/kKhe5MCS22MEEKI/qO9LcSIWfkUDUvj0O5Wti2vwdsaILvYiaIoqAluE5KEJU5KWKXutUdQzFaOJiPKCRcNCgRqSb/ugrMWnxBCCHE69KhGpLED3Rvk4Jo6TFYD6SkWdBcE2wKkOE0E3MGEj5KVhCVO9kA29jHXYC4piau874MPejcgIYQQogfoUZ1wXTv5Q9OIBKKEg1G0iIau65SNygBNJ8eooEc0FGPiBp5IwhInPRhETU5OdBhCCCFEj1LNBhSjiinFigmwHadMIIGJyhGSsMRJC4YwZJx4lcptH/4XX2Nt5/OOlkYunDnzbIQmhBBCnLbgfjeGlJ5dhbk3SMISJ199Nfs+Xgz24+We0LZjC/MWPNz5fMWhFWcrNCGEEOK0RVuDqHYjgV0t+DraOdRUi9EQSw8UAEXB2+JhQtEMDCc9Uu+ShCVOH5camXbBN7EZj5+wcPVZDUcIIYQ4be3t7ezatYvk5GRIgoyMDCwWC7s37WTs9LHYbF3vdfv27UNDw5DAlEUSljg5LU5UmeVWCCHEOSASiVBQUEBWVha6rrN3714ikQgTJ07EZDIlOrzjkoQlTkq352ERQggh+j5FURg0aNApyyT6HigJS7xCYdaveRWragYUFEWNTaSjKIcXRoz9g8YeKlWBvZA/PbExCyGEEMehaRoejwe73R67l6nqJ+5hsflWNDRMBhOq2jdaFyRhidOQBiPBgtFgsaDreizT1DV0Xet8rms6EHs+eVNjokMWQgghjispKYn29na8Xi+a9on72OFHMBrkb3v+xqS0Sei6TpW/im/lfQsz5oTFLAlLnAwopGUUotrtcZX3VbX1bkBCCCHEaTKZTBQUFJy0zDfTvolBMVDiKmF9/XoUNbEz3faNep7+IsHTEgshhBBnQzAa5P2q9yl2Fic6lE6SsMRLOtwKIYQ4D0S0CIsPLOZLw76EoihUt+2iquYl1AQv6itNQnHSo9FEhyCEEEL0qvZwO+8dfI98s8pHe/5CJNqB3ZzCrJIrMKmJnDZOEpa4aR0dUssihBDinHbAc4B2/14UTeGCIf/Tub2lZQUkdJ5bSVjiZkhKkj4sQgghzgnRiEbV9hasSSYyCpMwmmLJyLD0YZSnlVOx/Y/s3vwvVIMBRVUJRg6QkjI1oTFLH5Z4SbIihBDiHNHhDZOcbiUl207l+gY8nh243RsAUBWVve9H+c8jy1m/2YTVOYOqnYUJb2WQGpY4BXI7aF7zVxTim7I4bPSQxIxejkoIIYToPk3TUA0KVoeJAWMy2fpRJWp5lFXNO5mwczWmYCPDchRqN/yXZyM2kjNKOydJTRRJWOKk2C3kzfg6BsMJFj/8lObm5b0ckRBCCHF6YhOdQvMhH762IFGtCZQcPm46yCRThGmlEdrTp9E26ErKclMTHG2MJCxx0zm80LYQQgjRL63esJEG3cVHlV5uyMugbHg66flJFA+/mmWN9eRa2gikpMG0G8l0JJGZ6IA/QRKWuEnCIoQQon/yeDx43/ol5bmDyGw4xORLf0JWsrVLmQsys7kgMztBEZ6adLqNk47ezX63MgRaCCFE36BpGh3jv0m9J8zAy+8+JlnpD6SGJV661LAIIYTom9rbWtm7YS0jZ8+j+VAVnsaGLnesQChEs7+D6Z+5PWExnilJWOLW3YRFkhshhBBnh6+lGaPZTFPVAQLtPtB1SsZO6FJmzX9fJBwKYjJbEhTlmZEmoW6RJEQIIUTfE42EKRkznkgohKehHr/HfUyZCZ+5hoNbNtFScygBEZ45qWGJU6W3gfq6R1GVo1MTKyjon+ironwioWnoaOBL6bPOaoxCCCHOT1okitFsJmdQGTmDyo5bRjUYGDR+Mvs/3ojJaiE5LeMsR3lmzihheeCBB1iwYAF33HEHDz30EACBQIDvfe97PPvsswSDQS655BL+/Oc/k5194p7HX/7yl3nyySe7bLvkkktYtGjRmYTXo8LGbC4behVqnBPnfHjow16OSAghhIiJRiIYDPHd0ktGjeWjF56hbNJUMosH9HJkPee0E5a1a9fy2GOPMWrUqC7b77rrLt544w1eeOEFXC4X3/3ud7n22mtZsWLFSY83f/58nnjiic7nFkvfamPT0bvUoAghhBB9ha+1maaqAxiMRhTVgGowoBpU1MPfKwYDqmogShTVYMCeksLGt1/n4q9/F6WfLD1zWgmLz+fjlltu4a9//Sv3339/53a3283jjz/OM888w+zZswF44oknGDp0KKtWrWLKlCknPKbFYiEnJ+d0wjlr+ss/qhBCiPNL+fQL6PC40bQoWlRDi0aJhkNoWux7PRpF06K8WrOIfHMOe9X96OUq+Y3bGJ41ItHhx+W0EpbbbruNyy+/nLlz53ZJWNavX084HGbu3Lmd28rLyykqKmLlypUnTViWLl1KVlYWqampzJ49m/vvv5/09PTjlg0GgwSDwc7nHo/ndC6jV0ltjBBCiLPFYDSSlHb8e+YnDbbWMrtoNrqu8+S2J3nzwFv9JmHp9iihZ599lg0bNrBw4cJjXqurq8NsNpOSktJle3Z2NnV1dSc85vz583nqqadYsmQJv/nNb1i2bBmXXnop0Wj0uOUXLlyIy+XqfBQWFnb3MoQQQojzSlgLU+WtAmItBl8a/iVKXCU0+BsSHFl8ulXDUlVVxR133MHixYuxWntulrybbrqp8/uRI0cyatQoBg0axNKlS5kzZ84x5RcsWMDdd9/d+dzj8UjSIoQQQpyESTVxcfHFLDmwBJvRxpisMVxfdj3vHXiXHJuL4dmTEh3iSXWrhmX9+vU0NDQwbtw4jEYjRqORZcuW8cc//hGj0Uh2djahUIi2trYu+9XX13erf8rAgQPJyMhgz549x33dYrHgdDq7PIQQQghxcmnWNJwWJxVtFezz7ENRFNpq/onuXYumhRMd3kl1q4Zlzpw5bNmypcu2W2+9lfLycu655x4KCwsxmUwsWbKE6667DoBdu3Zx8OBBpk6dGvd5qquraW5uJjc3tzvh9apmdzMv1Lxwwtd1PTYfy5GOuY3BRqbnTz8rsQkhhBDx+NeOf5Ftz2agawAH6peyYsMfebR2A8+0utFLvgKqKdEhnlC3Epbk5GRGjOjaOcfhcJCent65/atf/Sp33303aWlpOJ1Obr/9dqZOndqlw215eTkLFy7kmmuuwefzcd9993HdddeRk5NDZWUlP/zhDyktLeWSSy7pgUvsGcPMwygdVhp3+RPVDgkhhBCJ8rWRXwOgqu5NvtlcSLqSzVzLVbxrSqHcaEtwdCfX4zPd/v73v0dVVa677rouE8d90q5du3C7Y9MGGwwGPv74Y5588kna2trIy8tj3rx5/PKXv+xzc7EIIYQQ/Z2u66hRN38bO5v7t3/IjJFTuTjDleiwTknRj7Rl9GMejweXy4Xb7e61/ix79uyhtLR7NSzdKS+EEEKcLS0tK9C0EI8f2MeVRaMZmjk+IXF05/4tix92k67rLFu2rLOGSAghhOhv0tKm4+yYwBfbCyny9+1JW4+QxQ+7ofpAFW+/sYjrb7mBNUtXkufMwpxkJXtQPsmpTpkJVwghRJ8TrmvHmGVHUY/eo9o31GMpdpI17gKircGT7N13SMISJ9/eZiJWK5+bdz2eJ/YwddpoHBNzCLb5adhbQ/Xmys6yOtDob5UmISGEEAmlazqt/6nAMtBF8qwCov4Ipgwbqt2Emmym4+NGLANTEh1mXCRhiVN5cRnWIWkA2O482tZnTXVQNP7Ypbz9O5vPWmxCCCHE8SiqgmNCDqZcB6FqH63/qSD7znGEa31ooQj2MVkoxv7RO0QSlnh1s7lHleYhIYQQfYBjUg4d25pQTAaSpuXR8uwuKps28NG6F0lJyeGGXy3EkZ6W6DBPSRKWeHV3MJUkLEIIIfoI2/AMAKyDU0meVUCaVk5BxUTef+J13vzT83z2Z99KcISnJgmLEEIIcR7RdJ23dzdRs2kvvrKhjB9QnOiQ4iIJS5zWuf2Y3zv1UGZfIMK00gwUq+EsRCWEEEJ0T30ozK/W7iM/nMKt4/PR7H17htsjJGGJUzTFwqRJBacst3RXA9bBqWchIiGEEKL7fBGNeVOLOBAI8kpLKzdo7wG3JjqsU+ofXYOFEEII0SPaoxoWVeGyDBcXWIPUeqLsOHQw0WGdkiQsPUwmjxNCCNGX+aJRbivKYoDdwjstDiaPvJkaT99fu08SFiGEEOI8EtZ0kowGxjkdqCGNxXsbGZiZlOiwTkn6sAghhBDnqXsuKqI2pDIg3ZHoUE5JEhYhhBDiHBRpbqZ9xQoUm43wgQNYhgwBwOnr4LWWfWyL7KG1LJvfTPt+giONjyQsQgghxDlITUpCTUoiefbsLtvHH364/vFrGv3mhMR2OiRhidP2jgCb1x04ZbkOTeMCMs9CREIIIcTx6ZqGf9UqtI4OQvv3Yy4p6XytrukAm595GMuokeQO7j+L9ErCEqfyAhcXpTtPWe69Zs9ZiEYIIYQ4Mc3nI7hvH45Jk9C1rkvLpLVDpjOX5NFTKUs9dvHevkpGCfUwGdQshBAi0QxOJ2lf/CLBvfswpKZ0bvevX4/W0cG4L9/dr5IVkBoWIYQQon+rWNx1wV0dUGIfoJ1DzLS/+zREo+iajqF0Ctby8kRFekYkYYlTN9dqFkIIIc4ORYHSucd/CUgquzj2ZM8SGDjx7MXVw6RJKE5BTeOBvbWJDkMIIYQ4PboGav9dmFdqWOJ0YZqThXvr0HSdUoeVG3LSEh2SEEIIEV8TQDjQ62H0NklY4vRBq5f/G1ZEpslIXSic6HCEEEKIkwq21FG7ZhEtVZWUjxyCfeJNiQ7pjEjCEqfQRx/hM6i0Kwo6sOIE5To0DT4z/2yGJoQQ4nylRUE9fu+Og4v/g96WSVr5Vdgmj+/aMbcfkoQlThemJpM0c8Ypy/k++OAsRCOEEEIAATdYXcds1nWdiCeb4skzsY3OROnnyQpIwtIN8Y4T6v8/FEIIIfqR1v3Q0dplU13DPioc7ZSVp54TyQpIwtIN8f6DywBoIYQQZ4k9DUZcd8xmo+tdpg8xY7SaEhBU75BhzUIIIcQ5pm3LNlzO/jvnyvFIwiKEEEKcY7LVa1E6+u+cK8cjCUuPOzfaCoUQQvRfpkw74QZ/osPoUZKw9AJdl34sQgghEkOP6oTr2zEknzv9V0A63cYtsPw1OLTh6IYuC00dTlAUCB2swTF5EpjNZzdAIYQQ573WtkZef+MXXF/8BYxZhYkOp0dJwhKnjBsvPuHiUl3sXwFKtPcDEkIIIT5h2e5GDiz+D5+9dSE2e1Kiw+lxkrD0NNUIWiTRUQghhDhP1HsC/O/buwhGNB78xtewms6tzrZHSB+WeMXbLUUSFiGEEGeJ3xPCZTDwyyuHc1nlh3hXrUp0SL1Galh6mmqIre0ghBBC9IKWmna2Lj9E/uAUjBYDVoeJcDDKkLJyVuzewdUzpyc6xF5xRjUsDzzwAIqicOedd3ZuCwQC3HbbbaSnp5OUlMR1111HfX39SY+j6zo/+9nPyM3NxWazMXfuXCoqKs4ktJ7VnVE/UsMihBCiFyWlWcgZ6KRwWBrFw9PJLnFSMCSVpHnjedaxLNHh9ZrTTljWrl3LY489xqhRo7psv+uuu3jttdd44YUXWLZsGTU1NVx77bUnPdaDDz7IH//4Rx599FFWr16Nw+HgkksuIRAInG54PSsaAmOco34kYRFCCNGLDm5rwWwzUrW9pXMajR1VFXzrP7czLG1ogqPrPaeVsPh8Pm655Rb++te/kpqa2rnd7Xbz+OOP87vf/Y7Zs2czfvx4nnjiCT766CNWnaBdTdd1HnroIf7f//t/XHXVVYwaNYqnnnqKmpoaXnnlldO6qB4XageTI76ykrAIIYToRaXjsygZmUHOIBf7Njexf0sT+zY2YbBq3HXB7YkOr9ecVh+W2267jcsvv5y5c+dy//33d25fv3494XCYuXOPDv8tLy+nqKiIlStXMmXKlGOOtW/fPurq6rrs43K5mDx5MitXruSmm246Zp9gMEgwGOx87vF4Tucy4hb2t7C5eje2oI5FVbCqKtYjXw0qRtUAigEUFdwHwVXUq/EIIYQQDpeFgWMyASgZmcHoR5eQbElOcFS9p9sJy7PPPsuGDRtYu3btMa/V1dVhNptJSUnpsj07O5u6urrjHu/I9uzs7Lj3WbhwIffdd193Qz9tNfYC1EFOMs0qHVENv6bREo0SiGoEI1Hao1Hmu0yga5BSHHsIIYQQvS3ghr3LwGghI7Qj0dH0qm4lLFVVVdxxxx0sXrwYq9XaWzGd0oIFC7j77rs7n3s8HgoLe29Gv6AOWckpZFmP34/l/WYPpDh77fxCCCHOfbvqvHgDYWxmAzaTAZvZgN1kxGExYDR8ogdH7WY4sBLSS2MjU4deQSQSwjDZm7jgz4JuJSzr16+noaGBcePGdW6LRqMsX76chx9+mLfffptQKERbW1uXWpb6+npycnKOe8wj2+vr68nNze2yz5gxY467j8ViwWKxdCf0MxLQNFJPMhGPrBwkhBDiTFW3+pk8MJ2OUJSOUBRPR4Q6dwBfMELd8y9y6ayRnWXVNhWlbiugsPv9pex3dKCE/Vw5+frEXUAv61bCMmfOHLZs2dJl26233kp5eTn33HMPhYWFmEwmlixZwnXXXQfArl27OHjwIFOnTj3uMQcMGEBOTg5LlizpTFA8Hg+rV6/m29/+9mlcUs8Lazpm5dhVmCOazuuNbcxMPXfbDIUQQpwdqqqQZDGSZDn21vxaaSnKyFE4OmvzZ3S+5vnFfbRnFDJl6rSzFGlidCthSU5OZsSIEV22ORwO0tPTO7d/9atf5e677yYtLQ2n08ntt9/O1KlTu3S4LS8vZ+HChVxzzTWd87jcf//9lJWVMWDAAH7605+Sl5fH1VdffeZX2APCuo5RPTZheb2xjUszXVhUmTBYCCHEmTn2LnPUZdfN5i9/eI4BJTnoOljMRkaOG0xTbTNDhg9n4rTpWD/RSnEu6vGZbn//+9+jqirXXXcdwWCQSy65hD//+c9dyuzatQu32935/Ic//CHt7e184xvfoK2tjRkzZrBo0aKE9pP5pIiuYzpODUuy0SDJihBCiDOmaTrKce4zRxiMBr79vc91Pve3d7BlzXYq9tUxP995zicrAIqud2ca177J4/Hgcrlwu904nT3f+fX9Zg8XpiUf88O0pNnDnHTpbCuEEOLMtLaHONjiZ3RhSrf227N9L7vfWMJlP/h67wTWy7pz/5a1hOLQEo4ck6y0hSPH7dcihBBCdNcBf5AXKutZVu/usr0jHGVQqp2GjiDfGVtMVNPZ1+TDbjaS67JSOmwgB6Nm/KEIdvO5fUs/t6+uh9jcYf5Qf7DLNrOiUG42s6zp6PIBRyqrzEaVaYMyzmqMQggh+q+QSWHBjFKSjF1HpHaEo/y3ooERGU4eWrsfTyjCrUPz8ATCbKvxYFQVFJOZJm+IovRz+5Z+bl9dD3EoKneMjm/2Wl3XWV7R1MsRCSGEOJe0RzUchmP7RNpMBm4aFuufMqswlXea3BSm2QEoz3ES1XS8gTAp9jjXu+vHpMdoD9P1k/f0FkIIIY7nZJ1ujxidbGdpy9HlaAyqcl4kKyAJS49TFJlITgghRO/ItpgYYLOw0d2e6FDOOmkS6qaopmM4zpwsPncLVnsSRtP5kekKIURft9nrpyUUOWb7kQ+VCmBWFSyqillVYt8rR783KwpmVcWiKqi9PMjiVB90vUEvL+z7iFRLMp6wjyK1FVw39mpMfY0kLHGqaetgw8FWrE3bGOBZiy9lCAqHf8i0COakNNx7VmPPG4ozfQiQmdiAhRDiPNccijD7JFNPaLpOUNMJ6zpBTSOk6YQ0HW80Sigc+/7I9k8nFC3hCOmmE99CfVGNpE/1SbEaVKyqis2gYFPV2OPwtvaodtJr+ffej0gxKlyUlkRHRwMprumnvP5zjSQscUhq3MCBfS1cnqOi+FbA1X88fsFJF8e+7nkXGHH8MkIIIfoEVVFiyQMAJ14vrifouk5A0+nQNAJRjQ5NozEcoSOg0RHVqAmE+P3+uhPu7/XXMzEzFYs5lRTX1b0aa18lCUscxmdoMP3m2JPRcVTBSScWIYRIuL40AEI5khwZVDAd+/rMtJOvSfeq/UrGZqX0TnD9hCQscdgd1PBv+O/hZ11/BT757Eie4nRmMfBsBCaEEOK8kG8x0RKOkHaSZqhz3fl75d1wKH8mF3VjCv73mj2SsAghhOgxuRYT9cHweZ2wyLBmIYQQoo+rCoQotJ7fo1AlYRFCCCH6sP0dQRpCkWOm7T/fSMIihBBC9EHtkShvNrbhjkS54jzvcAvSh0UIIYToc9a52/FFo8zPcPX6pHX9hdSwxEFGKQshhDhborpObTDMhWlOSVY+QRIWIYQQog8xKAqqAv5TzH57vpEmoTgE6nfwfk0g7vLp9iRIH9+LEQkhhDgZXe/fdeOXZrh4s9FNhtnIlJSkRIfTJ0jCEofLzF4onRv/DhXv9l4wQgghTims65iOs1Btf6EqCp/JSmFZi5e9/iAD7ZZEh5Rw0iTUG/rv74gQQpwTOqIadrX/3+IuSEumKhCiLhhOdCgJJzUsQgghzjkBTWeXP0BI1zs/mY9MtsfW8ulnZqUmsaTFS47lOIsQnUckYekN/bvpVAgh+r0ss5GrslLR0UGH+lCESn+AEcn2RIcWtx2+Dg4Fw2i6zjTpxyIJixBCiHOPoijYDUfb502RKGa9/9SurGrzkWE2Mrcb69id6/rPv14i+Vu6V176sAghRJ8S0jQs/agTrj+qUWq3JjqMPkUSlnjY0xIdgRBCiDMQ0nTM/ShhEceSJqE41De14al5IfYkjv4paclW0ns3JCGEEN0Q1HTMSv/5jC5dIY8lCUscvBljKCstjbv8nj17JGERQog+pD81CUU0XXoWHEf/STeFEEKI0xTS+0+T0AZPO2Od/Wc009kiCUscIpFIokMQQghxBsKajqkfLCQY0jQawxFSTdIA8mnyjsQhFN7Kho0rUBUD6emjKSwcm+iQhBBCdJPShxKWlnCEde52DIrS2fyjA0ZFkaHMJyAJSxzy87JIT7+e9vZmmpt38NHKB5k29YeJDksIIUSccq0m3m/20BqJcm12asLi0HWdFW0+AC5Od/apJKqvkyahbnA40ikqmoHLWcyOHS8lOhwhhBBxKnfYuCjdSYrRkLAY9vmDvNHoZniSjRmpyZKsdJMkLHHpOsDM56vF729l06aniEalf4sQQvQXR1KExlCYivYABzuC1AfDtIUj+KMaUb3nBxSHNZ23Gttoj0b5TFaK9E85TfKuxcHt3g/+NMwGC4pqZMSA6zAakgiFO9iy8inKBl8P6Giahq6DFoomOmQhhBDHMdBu4f1mD2ZVochmIahpeMMRgppGUNMJaTrap5KWlKoVqFo8qyXr6DqMGX9V55YDHUE+9nZwSYYT8zmwenQiScISh7qP89nTspupc8egaRF0vYNApBZdC5PlKqP5UAOqooICqqKSFUlOdMhCCCGOo9hmodhm6d5OLSYouzSuops2vArEanDWuNspspq5Iiulm1GK45GEJQ7jho3HOjj+TlqBXd1ce0gIIcQ5Y4vXjzsS5bIMl/RT6UHdqp965JFHGDVqFE6nE6fTydSpU3nrrbc6X6+srOSaa64hMzMTp9PJDTfcQH19/UmPee+996IoSpdHeXn56V2NEEIIkShBL55gAJOqSKfaXtCthKWgoIAHHniA9evXs27dOmbPns1VV13Ftm3baG9vZ968eSiKwnvvvceKFSsIhUJcccUVaJp20uMOHz6c2trazseHH354RhfV23yravEuq0IPn+C65IdUCCHOHfH8Sa/bCvtXMGvy9ZQ7bL0e0vmoW01CV1xxRZfnv/rVr3jkkUdYtWoVhw4dYv/+/WzcuBGnMzbpzZNPPklqairvvfcec+fOPXEQRiM5OTmnEX5iKEYV1WElUNFKuMFPsLIN+5gsiOqYi5PRw9LpVggh+jLPokWojqQTvm6O7sVckBd7crKRQ5oGuxdB2kAYMr+HoxSfdNp9WKLRKC+88ALt7e1MnTqVyspKFEXBYjnamclqtaKqKh9++OFJE5aKigry8vKwWq1MnTqVhQsXUlRUdMLywWCQYDDY+dzj8ZzuZcQlUNlGqNoLgB7WUG1GHMNzUG1GbMPS4cLC2GtRjag3jKU0cZMSCSGEODXVkUTSzBnHfU0PBmh/7WPMF574vgVAwA0Vi2HwJWCRwRa9rdtjrLZs2UJSUhIWi4VvfetbvPzyywwbNowpU6bgcDi455578Pv9tLe38/3vf59oNEptbe0Jjzd58mT+8Y9/sGjRIh555BH27dvHzJkz8Xq9J9xn4cKFuFyuzkdhYWF3L6NbrANdOGcX4ZxdhG14OsY0K/6NDWj+2DA3LRirUVEMKoZkE6olcRMTCSGEODOauwk1OeXkhRp3w4GVMOI6SVbOEkXXuzdLTigU4uDBg7jdbl588UX+9re/sWzZMoYNG8Y777zDt7/9bfbt24eqqtx8881s376dSZMm8cgjj8R1/La2NoqLi/nd737HV7/61eOWOV4NS2FhIW63u7M5qicFdrVgHZLWZZsWitKxtQnFoBBtC2LMsBPc58aYZcOYasVaJrUsQgjRV/k++PCENSxaWz2+5/+E6syITVeRmol93s1HC9Rvh1A7FE48S9GeuzweDy6XK677d7ebhMxmM6WlpQCMHz+etWvX8oc//IHHHnuMefPmUVlZSVNTE0ajkZSUFHJychg4cGDcx09JSWHw4MHs2bPnhGUsFkuXpqfetrNqG5HmWL8rHTiyVJWCwrCMYShWI4Q1LKUpKKqCIjUsQgjRb6kp2Ti/8YvO577n/u/oix2t4DkEZRcnILLz2xnPw6JpWpfaDoCMjAwA3nvvPRoaGrjyyivjPp7P56OyspIvfOELZxpaj/ENVZiRf2wm/uGhD7HmS02KEEL0P/E1Lugd7Sgmc+yJFoXNz8Hkb/ZiXOJEupWwLFiwgEsvvZSioiK8Xi/PPPMMS5cu5e233wbgiSeeYOjQoWRmZrJy5UruuOMO7rrrLoYMGdJ5jDlz5nDNNdfw3e9+F4Dvf//7XHHFFRQXF1NTU8PPf/5zDAYDN99883Fj6EuUuMa6CSGEOJGO7c0ohqN/Sw0pFkzZjrNw5vj+fmttjaiu1NhIoW0vw/gvy9QVCdKthKWhoYEvfvGL1NbW4nK5GDVqFG+//TYXXxyrGtu1axcLFiygpaWFkpISfvKTn3DXXXd1OcaRJqMjqqurufnmm2lubiYzM5MZM2awatUqMjMze+DyesaJEpNANHCWIxFCiHOLwWUh2hbAXOzEkGQmsLv1LCUsJ6eFQgS2bSOydydWewPsfD02GshkTXRo561ud7rti7rTaed0rDi0gun504/Z/vre15mWNw2rwYrdZO/x8wohxPmgY3szqt2IpcRF8z+3o1gMWIemYx+ZcUzZuro69u7dS2ZmJpqmceDAASZNmkSKZycEfXFVnOi6TssLb2EZNODYF7UIWFNQsodgHTECQy/cU8RRvdrpVhw1LW8ate21tHS0YDFYmJgzUaZiFkKIbgg3+DGkWDDnxSZxS5pVgGfJQRSDQn3jfjZ6t5PqMZOpu7C7Utlb10A0GqWsrIy2tjbC4TAulwuafFB2inlTDlOA9B8fp9NsOAA7XoPhV4PB1HMXKXqErHUdB/0EnbPSrGkMTx/OzIKZDE4dzNsH3mZXy66zHJ0QQvRPUW+Iju3NnclKVIui5FtJv7kcPRzFd/f/w/jeGt5/+1lsyU727n6K+r0NeOtic1+FQiEsFkvPfFAMdxxOVq6RZKWPkhqWOMTTuTbFmsL8kvnU+GpYXr2cWQWzzkJkQgjRfx3aVMFmww6SVm8DYh8OTYoJb9hHSrONgcNvYPrFI5lTVEKH14NSkUFuRgGLVyyhtvkgF8ydRllZGYd3PjM734AR14Iq01L0VZKwxGHnqg9pS9nb+fyYGpdPZfcpaVlQcDYiE0KI/mFt3Vo6Ih0YlFhCoOs6eridK2Zff0zZDYfWk2a3k3Pl0M5tdqeLqZf+D35/B2FHBwMGDKCg4DT+0IbaoWUveOsABVz5sa/OfElW+jhJWOIwZ9BcSsaM73weCnTgrq+L/cLpeufCWGabjdTcfPZvWp+oUIUQos9ZU7uGYDR4bM3zp/KNqBZlRc0KMmwZlIwdyvHY7TaGDx/Oi1t3cmFqBi6jgXSTEV8kQsqJAtA0qF4D7Y1gT4fUAZAzMva3210N0RAUTz3TyxS9TBKWOGz/cD1+n5HyqSNRDSr7N28gr6wcRY11AVIUBRSFgM9HxZqPiEYiCY5YCCH6jrAWZmbBzJOW2da8jRpfDdPzpp9y1GVaWhoppYOxG1SawxG2+zow+jo45gzeOqjZCIoBCiZA0ZSurysKpPTuWnSi50jCEofhF12HLSnM6lffJxqOMGD0IFpqDlE0YlSXcnani7S8/ARFKYQQieP3HyAabUdVLcc8WgItx91H0zXW1a2jPdzO0PShDE8fHvf5cqwWMkxGCqxmhiXZ2HzgE8057c1wcCUkZcGQS8/00kQfIQlLnLKKc8gqzkHTNDYuWkVtxcekFw7B4Tp7axoJIURfpOs6Pt8OXK7xaFoITQsSiXjRtCCaFiTP0MGbOx5BAZo66vnCuHtp6mhiXd06puVPw2nu/lwnU1OSeKWhlc9kpmAzqIAOLfugYTvYUqH8cpmR9hwjCUscPvkjr6oq4y+bhq5PpeGAl8aDXhwuC5lFsry4EOL8pGkdRCI+vN6tAARDDeRkX4XBEJsVdnzq5M6yz29+gLd2PYHDMYj5A+af9jlNqsLVWamsdvsIazojCUI0DEMuk0TlHCUJSzc1HPDQ4Q2TlGohGtFQVIWAL5zosIQQImEMBjt5ebHRPh0d1aiqGVU9fu3zDaN/xJqKx5iYf/I+LfEwqQozUg9/WEy/4YyPJ/o2SVhOQdd0Au2xhGTvpkaS06wUDkvD7w5hSzZjd5oTHKEQQpw9uq7T/tFHKCYTqtUKZgv+5GQsLide74eEwzVkZs4nEvFiNCahKMfOTzowbYjMCi66TRKWU4hqEZobtrB11U6CfnAVqrS2gqYFSU2eBkjCIoQ4f2g+H6rVinXYMHy1tWx7402KLp5LSFUIBEoIBp288fJ/KS0egMWmAdoxx9A1hYz0sx+76N8kYTkFRYlQPiOF1JSJNDS+TVQDh30Qmh4hGvVhNCZ+VVEhhDhbom1tGFLTUG02tq1eTcHYMeSXlx9+NZd2d4AtoTaS7eOIBKOUTsjGYFTRdb2zVuXAtubEXYDot2QtoVPQde3o1Py6TlbmJXi922luWoqq2hIbnBBCnGWxhCUFgKk330zt/v1dXne4rMy/biZNzZvwNG5kz4Y69n/cxNal1VS88gb73nwbl3/z2Q9c9HtSw3IKmhaivb2SlJQJtLdXoOuXkJk5j/37/4TBcPLJjYQQoq8L7t1L+NAhuo6H1EFV8ROifnAGZoMZk8GEWTWjNVdTOGzY0f19Pnbt2oWqHv38u3vtKpwWEzVbNpE14BC7LcmoQwqZZG3BF4lgSi078ay0QpyAJCynpLOz+gWe2fkMFxRfyQBFwWCwMmjQ9xIdmBBCnLHwoRqSZh47YkePRtn6/P8xdMKthLUwoWiIYDTIB+0b+KIhNhmbf906UkpLGTx4cJdOtJ0LEl53EwAXAU2hCDt8o9CA3NSk3r4scQ6ShOUUmjpaqNCLKckpIyN9GsFQExZzBnV1r5KTc2WiwxNCiB5XsX4Jh7atxpU/EJfF1eW1PcajvWWjPh8j586N65gZZiMz02S+KnH6pA/LKaRaHOTaknm34p+Y/RvZu/f3NDQsorlleaJDE0KIXlFYPBJbYQlj59x0nFdlOLJIDKlhOQUFnYsGXs+gzFnk515IONyC2Zwh/VeEEOcIveuzcJiPP3iZnEEjTrmnMSWFSEsLxrS03gpOiE6SsJxCNKqxbesH2Gy5bGl6DVVVyclx4vdXkp4+69QHEEKIfqLuF78g6cILsbaHaarYQvGo6ceU0Xw+/OvXo/l86OEw1hGnTmyE6AmSsJyCprkoLr6K7OxsNE3jwIEDOJ1FZGRckOjQhBCiR1mHj6Bq8auEtSBJV19xzOt17XWk5g/CMqQcQ5LMQSXOLklYTkFRFBRFwWAwYDAYSE9Pp6WlhZycnESHJoQQPeBon5SU664lMn0se1a8SUvVHlbs3U720PGUjoqNItrRvIOLplydoDjF+U4Sljjo+tE23tTUVDZt2kR9fT0ul4uSkpLEBSaEEGdAj0aJej1omtY5j0pGzgAyrruts8z2tYv4aNHfCQ0fSF5SXqJCFUISltNRUlJCSkoKFRUViQ5FCCHOiH/1GkIHDp7w9SwFbOl2BhReePaCEuI4JGE5hU+vKFpfXUVLXQ1Jo8cSDAYTFJUQQpw5PRrFeel8HFOmnLSc5b33zlJEQpyYJCynEAqFiEQiAOzetIHWxgYKB5ezevHbhNrqQKkAcxJEQzBoNphkfSEhRP8Qqa/HmJ19ynLG9HRC1dWYCwrOQlRCHJ8kLKegKAo2m43dmzfi83iYfPF8AHKLitn79ztBvRh0nZbq3WwNlaPaXBSm2ShOlx70Qoi+LVxbi23UqC7bNE1j0yNv4cjoOn1+m6Yz+WZJWETiSMISB13X8bS0kHF4ZFA4FGTP2lUMuOlX4Ij9UusZ4/FUB9ECbbz9YRX3XjEGg9p7M0J+cql2IYQ4HXowhGq1dtlW9c56CiYNImtieZftu1bXnc3QhDiGTM0fh7ee+AsdPi+OlFQ0Lcqe1R8xZOoMrI6jn0DS09L5zKg8drlX09ixiz+vWkxYC5/W+cLNzbT881/oodAxr+kRjZr3DrD7339g3+tP0rpqG+01h1i6dClut/u0r1EIIXY+vxxrqv2YZAXAmmRKQERCHCU1LKdg0DUmzbqQAaPGUF+5h9aD+yidPA1VNRy3/Penf451P/4O/tf24ysbSmpmYbfOp+s6jb/9Lc4rr6L5738n41vfAqA2GOJgR4gDr1eSNyWPKdO+SZt3DR+v+QPmsEJBwQ9oaWmhqamJQYMGnfF1CyHOffU7DlFV9T6K0UCkPUjRrOE4B8nQZdE3ScJyCmaLBT0corm6ivyhwzGaTv4pQ1EUJvz6zzT+7vdEX16Ef+wYzKWlGFNT4zqfd/FiFKsVU3YWurUNNj/H0/6DvKBMYlzGIH56y6jOpqAM6wUMmzSMcDhMXl4eTU1N1NVJta0QIj6m6XMZNDwdPRRCMZtPWlbX9JO+LkRvk4TlFCx2B8Nmze7WPoqikHn3XQQrKgjt3Uf7qqeJtrVhnzKZpOnTUe1dF07Uw2Fan32O4P79tD39NEXP/ptIcwve1ZsxR3ZzZXE+w52bGT1o1jH9VjIzMzvng2lqamKErOshhOimUyUrjQe9OFyWsxSNEMen6J+cxrWf8ng8uFwu3G43Tqcz0eEcl9beju+DDwnu3o119CgitbUY0tNB1wns2IFl4CBQFJJnX3RMQnMqO3fuxFsbRdUsjJs9SDrjCnEOaGxsJDMzs1fPcXBbM0XD0zuf79/ShKIoqEaFlCw7fneIdneQlGw7abky8lH0vO7cv6WG5SxRHQ6c8y8hOGQwbS++iH38BBSjARSFlGuuwVRYeNqJRtMOjfQiO4UD89ixuZEKwlw1Jr+Hr0AIcTbt3buXlpYWnE4nubm5PX58XdeJhLQu2xRVoXh4OpFQFHdjB85MK9kD+uaHQHH+kYTlLLMMGED2D37Qo8csHJxNweBUlm6owdsRRk210OYP4bLF+tu0udfR0XGAJMdgTKZ0auteIivrUpIcZT0ahxCiZ+i6TlpaGg6Hg/379/dOwtLhJlKxlINNR/vXWZOswAyMZgPp+Ukn3lmIBJCE5RxQMDiVB/+0loIxmcwfn8/y3Y3sqvPiD0cJBg7R5j1EUVoyg01NdHQcJMU1AZu1e6OXhBBnTzAYxOv14nQ6mTp1aq+cQ22vZ/C8KZDyib8FNRtjj7yxvXJOIc5Et+ZheeSRRxg1ahROp7PzF+mtt97qfL2yspJrrrmGzMxMnE4nN9xwA/X19ac87p/+9CdKSkqwWq1MnjyZNWvWdP9KzmMGk8qCOydz9ZRCato6yHVZCUQ0VEXBYs2nXSvhyTUBvFop2dmfQWnZi6FiCWx7OfYgNuPlOdCdSYhzgs/nQ1EU0tLSOrfV1L5IVdWTNDcvo7l5GR7PFjQtDBXvwp7jPHa8Ds2V4KlF73DT6G9kY8NGtjdvZ697L3XNOyEpq+uJ88aCyQ473wAtepavWoiT61an29deew2DwUBZWRm6rvPkk0/y29/+lo0bN1JSUsKoUaMYPXo09913HwA//elPqampYdWqVZ1Ll3/ac889xxe/+EUeffRRJk+ezEMPPcQLL7zArl27yMrKOu4+n9YfOt0mmjcQ5tEly5hX1kSxt4qU8Yebpeq2oLtraF3biGI04pgxE3OB9H8RIpH279+P1+slKSmJaDSK2+vjUFoWwcgOZjiNmFXwendgrN6IXU0jbdrCYw8S9EF7A4T8bK18i5bc4UwovJCOSAfBaJCPNj3O9TN+evwAwh1QsRgyyyFzcO9erDivdef+fcajhNLS0vjtb39LYWEhl156Ka2trZ0ndbvdpKam8s477zB37tzj7j958mQmTpzIww8/DMTWsSgsLOT222/nRz/6UVwxSMISP00L4l/9vyQN/wo4Y+3iekcbbY/8itS7f4t/3Tr8a9eS8e1vJzhSIc5fe/bsYdCgQZ1NQ7t9flxOF6s6wnw5LwPjkWU/2pth/wcw/OqTHu/jbc9TXDAFl6uoc9uHa/+PGRNvP3kg1etjC7pmDzvDKxLi+M7KKKFoNMoLL7xAe3s7U6dOpbKyEkVRsFiOjtW3Wq2oqsqHH3543IQlFAqxfv16FixY0LlNVVXmzp3LypUrT3juYDBIMBjsfO7xeE73Ms47qmohaepPCK96Ed+6bZgyY1XOlvLYAmj2CROINDQQbWvDkJKSwEiFOHesP9CCL3hsE4tBUbCZDdhMBuxmQ+x7s4GopqEoClarFavVyhOL3yApy8HFE8YdTVYAHOlQOBk2Pg0pRTBgZpfjh8N+Vqz9E83eaoYNuar7gReMjzU5ScIi+oBuJyxbtmxh6tSpBAIBkpKSePnllxk2bBiZmZk4HA7uuecefv3rX6PrOj/60Y+IRqPU1tYe91hNTU1Eo1GyP7W8eXZ2Njt37jxhDAsXLuxsdhKnxzTleoztqSTNmXPMa5GmJiKtrZKwCNFDvIEIFw45tok7HNXoCEcJhKL4Q1GafSE6wlE27G5iyODBNOyt5Y23NpJrTqFws5/SOcnHHtyZCwE37P8Q3vsl+BpgzC1UDZrJtspFXDj5LqxW1+kFvu8DSC05vX2F6GHdTliGDBnCpk2bcLvdvPjii3zpS19i2bJlDBs2jBdeeIFvf/vb/PGPf0RVVW6++WbGjRt3wv4rp2vBggXcfffdnc89Hg+FhTLqpbsOeZ1EfvpHrM5S0ortKAYDpixQTCaMvTxhlRACTAYVk0HFae265MeBfWa2HWzk3ZWV5I0eSorFxNTh2Seeq2nkZ6FhO0z8aqwjbXMli7c/xZdn/RxVOcHf31N1BggHQItARmn3L0yIXtDthMVsNlNaGvsBHj9+PGvXruUPf/gDjz32GPPmzaOyspKmpiaMRiMpKSnk5OQwcODA4x4rIyMDg8FwzEii+vp6cnJyThiDxWLp0vQkTo9jyCBy5o3i4Gv7MUzMQa3ykjSzAEBGDAmRQFo0yn9X7WD21OFMKE7FaDjFh76kTEi64Ojz9EHcNOUelhxcwsXFF59eEE27IEM63Iq+44yrPjRN69KfBGKJSEpKCu+99x4NDQ1ceeWVx93XbDYzfvx4lixZ0uV4S5Ys6bW5B8RRWSVOGqr8+KraaFhRQXtbKx07W+jY1ox/fT3Bg9I3SIgzpWl6t2exbq2v5ofXTmPKwPRTJysnYDfZGZkxkg31G05rf7z14JIRg6Lv6NZvwoIFC1i+fDn79+9ny5YtLFiwgKVLl3LLLbcA8MQTT7Bq1SoqKyv517/+xWc/+1nuuusuhgwZ0nmMOXPmdI4IArj77rv561//ypNPPsmOHTv49re/TXt7O7feemsPXaI4EYvNiN/jo7L9I6x5BsL2MA17KrENT0e1mTBl2BIdohD9XltHmFT7yVd5/6SqFj/FAwZhNJ75vJ45jhzcQTcPb3yY/+z+DxWtFTS0N+APek79x9/qhJa9ZxyDED2lW78RDQ0NfPGLX6S2thaXy8WoUaN4++23ufjiWJXjrl27WLBgAS0tLZSUlPCTn/yEu+66q8sxjjQZHXHjjTfS2NjIz372M+rq6hgzZgyLFi06piOu6B2lEwpQPJPRg1GaNu0lfcxAApVtmPIcqN34IyuEOL4Gb4DM5PiasKOaztZDbi6dOqbHzn9B4QX4I34GuAaw5/9v786D46ruRI9/b++burVv1mbtsrEs20h4HS8YwxAbmywQhgnkQd6QSiap9yiGpcgMSaZCUjNvkuI9asI8UhkgGR5ZCEsCBmzwho2xsS0jW15ly5KtfWl1t1q93/eHsGxZsiTbLakl/T5VXbb63r731zrq7l+fe87vOE/j8rvw+HvI9fWwe9/zhNQwu5zHuDN5IQuts6BgTf9U5pzFcO4T8LkgM3rxCHG9ZLVmgaqq9OxpwNPVAW6VtHVzpXdFiCh581Qbp9196LVXXBa67DKRBrDptXg8QR6Ym4kjyl8WXAEXJ7pOUJleOej+UCTE5rObuT3vdgxaQ3912+N/gZSySwXjmg+DGpFy/WJcyGrN4pooikL8slzCLx9CjTjx1bhRCwpQw2FCLS2ooRAAaiiEITcX41UGUQshhnIkmnisaOSq3YFwhHO9Pvb3eKOerADUtNeQY88Zcn91WzVrctb0JysAGi3M2QjtJ+DkB6BoIOCB4juiHpMQ10oSFjEg6cFNuLdtw7JwIcHmZjQWC5abb0bRX3oD3f7Wu5xq6uK+xQuw6bSTGK0QU1MkHEajHfzaCQO1Pj9/k50c1XOpqsqrx1/ljrw7SDInDdnuC/sw64bpTU0p6b8JEUMkYRGD2FatwvXuu8StXYvmsqnjDQ3n+fR4HcY5c0lzOGgNBCVhEeI6vPXEDzDl5zPn9lvJLcinyRfgL+1OHs6Kfu2jrQ1bWZm1cthkRVVVvEHv1eu0CBFj5C9VDKIoCvY77qB31y4AAj4/b360i/PtHXxt3Uo6zBbaAkEKLKYJjaujo2NgBlroi0tUQkwFlw8SPLF7L9lf+yrrvvUg9SdOc6DmGEc8ffxddiraa5z6POp5VZUL7gukWYZOYPAEPLxX/x5V6VVRPacQ40l6WMQQilaLYjRy4EA153rc3Lm0kk+9AR78/AxP5mdQZpuYAbl9fX0cPHiQzMxMNm/eTFlZGTk5OdTX1xMOh0lOTiYpaeg3RyFiVWPtMW791jdRFIWyBfP55KXfkDk7D77+1aifS1EU7i+7nx3nd5BsTqY8pZw2bxvHOo9h1VtZl7sOrUZ6ScXUIT0sYlgHtSbikhL58poVmEwmmn1BUo06LviDbOt0ER7nyWWdnZ288MILZGRkkJycTHJyMrfccgt6vZ7CwkJKSkro7Owc1xiEiLa0inLqzzUCkJqRxsanHmPO7BwiXu+4nE+v1bM2dy159jz2NO2hy9fF6pzVVGVUSbIiphxJWMSw/MXFFOf1zyr4Q3MXjf4A/1KczdokO1XxVt5uc9IeCI7b+VtbW1m6dClarRaDwUBJSQm7d+8etM+1Vg8VYjJ4w5GB/8+rXERj9eeDtmsT4gk7neMaQ7wpnuWzljMnSVZdFlOXXBISw3Jf9ia7NtnOyxc6+MGpC/yoMBOrVsum1HgOuLx81Onm3ozEqJ/faDTicDh48cUXWbZsGb29vWzatGnQPoFAgEgkEvXFNUXsaqytIRwIDL5TUdCbzBjNZuwpqRjMlskJbhj+UJgPals509DTf4eqklpzisO2PRgsZoxWC+Yzx0nfNPzyJUKISyRhEcNKuGwGUIJex//IS+e15i7+T0Mb/zMvHUVRuNlhxRkKR+V8YU8Arc1Ae3s7LS0tWK1WbDYba9euJT09HZvNNuQxgSs/uERUuH1BunoDaBQFrab/piiQYDGgv851baIlFAgwu2LRoPvUSISg34e/z0vDkc8prFw8SdEN1d0b5DulGZSm9xfECoUj+Er/jr4eD1s/qqerpYuseVlslN5CIUYlCYsYllmr4ajHi1mj4elTF3AGw8y1mXhidsbAPufb2olv64SkS9UJVVVF9fvxbN+OYjJhW74c5bI1USLe4JCS/746J4qiULu9mozF+cybN29g2/Lly4eNb9/OGojoiIRVpIMlus51emno8lKcFkdEVQlHVCKqyid1ndw+Nx2TPrbGPigaDQazBa3egN44sbPXRtPh8dPq8pFhN6NT4M0/ncQcp8fvD1O1qABtBHJvkoHjQoyFJCxiWJV2C/cePkOlw8oiu4XHLktULjp87BQrQn2E87IJnD1DqL0dNBo0FgvmhQvROhy4P/iAuHV34N55HsMsG4peSyTQ3yujaBTUYARFr8FYHE+krn+l79EEfEGcXU5uXb+MCye6CYcipBc4MNsMUf89zEQ3zXLgDYTRaxVyky71bJWkxfFOTTN3zc+clPFDaiQy4nZPVwe2GJs11u0N0N3l4jARWo44Ke84iq10OYrBQGKaFbssgSHEmEnCIoal1Wh4ad5sPupyY9NqOO31MdtsHFwrQlWJW7WK3r17MRUXY76sZ+QiY2kZ3b/7C7aVyzFkDR7rokZUVF9ooMdFYeQPwZM1Z2lt6sDvD7DqzsVodRpy5iahqiotZ1y01PWQkG4lPi12xjBMVVWzE/nwWCu5SVZ8wTBdvQE6PH6MOi1vHLrAlxdmTXhMXlcPFkf8Vbe7OtpJLyiauIDGIBSO4Nx/gJX6TiwnPOQ+tB57ReZkhyXElCQJi7gqm07LXanxRFSVRl+AXd1uIhdnM0ciaE6cILJwHrZly656DGP+bLzV59GlDV3UStEoKJddHvL0uAn0+TGYB69se+Z4I41nm0jJSGbF7ZVXHgZFUcgocADQ1dzLmep2LHYDabPtMpNoNKoKfd1guSyZbNxHV8SK1x8PwFvVF1iYk8CseDMl6XGM0tExbtwd7TjS0q+6PRQIxNwlIfeuP/GVnt9jWPcsi76zWP4ehbgBkrCIUWkUhVyzkdwrEonIN+/Hd7SWiNsFgD47e/iFEVUVjX7wn1rYHSDY3Iuqqv1v4qpKV6+TmsOfU3JTGTabjdamDk58fpa4eBsr//qWMcWamGElMcOK1xXg7OEODGYds4rj5YNiOKoKh34LycXgdwFK/6q8GeVo2hpxNO6Him9iNui44OyjKC1uUsPt87hJi7EelNHctaoI1CeheMlkhyLElCcJi7huGqMRy8JLS8731dTg2bEDLiYHioJiMBJq68Nf30PEHx6oU66NM2AscKBcNutkfcmXUVWVxsZGDh8+TPcFP2vXL8dkufaxKRa7gfyKFHy9Qc4casPnqWfuX92C39sLgN5oGrIA3YzT2w7GOMgZmgwGnC6MbYdpb6rHbrKwquTSasOH3V66ApeWRyhu8ZOo1eD7/BP0GQ7agz6UxP4eGxXQaLXo9AZ0BgO2xCSs8QnXHfJIiac9JZX66gMDpfCvtmdEjZA7rwKtLvqrIg85V28HGtPkJnpCTBeSsIioGW4MS8Tvx3yTClodGtPof26KopCTk0NWVhbO7h66mrwEfe5L2zWQURCP3qglFAzT5w4Sl3j1ywAmq57Z81P48NdbscRp0Zv6E5UjNcfQlS3BbDQQZ9JhN+mxmXTEmXQjT909+T7YUiGxAExDL3PFstYzp+lpa0FnNBIOBlHaaknQ95Kk+TNoDeBsgLgM0JlInL2KnqXfZN9ffkXxxicGjnHBF6C+z0+W0YACLHRY2Xv2PElWL4HzIVS9QsR9gYI1twHg93o5W/0ZFns8CRmZnD92hOLFw8/8Gk3Q7xtxe9KsbJJmZY96nIYjhxnnQs24Ai4UFD4ItZPW3Uig3kCmPZvSxNLxPbEQ05gkLGJcaYxGMI6+35DHaTQkJiXAFZM+wsEITaedBH1h6ms66Gzq5e5HF6AzDO4tOflpDR3nW1A0GjLyc9CbHcxecPPA9l113dw7JwNfMIzbF8LtC9LY5cXtCxH6YpCGoiiXLlkBIb+P0mCEWbOyoa0W/J4vjqYy5Pt8wEMkuYj/F07HrNWwIsFGiiG63+jD4Qg+TxCDWYfeMHpvUcORw2TNuYmMwhKCAT96w1JqP3gDe8E69AYj+Hr6n0fDXo7u/BNpOUVoF5QNXAryhiPs6+lFqyg0+4OYtRp+29TJwq4AalwylpvL8J44RGfDCfw7P8JidxAOh8lfWEnzqRNcOF6LwTT2WTFeVw/ujnYMZjMGsyVq41PCoRA6/fj2rrxf/z5F8UUsLf0qGbb+GXYnu09yqvsURQlT67KWELFCEhYxpWj1GrLL+i83JGZaaa7rGZKseF29tJ49z+K716I36tnzxy3Epw5fjdek12LSa0mJGz2rutBYT8SdANbk/tsIPCe3ss1vZVNmPCathrfanNydemNjadob3HjdAXyeICabHo1WwWzT42z1EvSFMVr1A4OPh1N511doOHKY88ePklU6F4DStXdxet8npOUXYbHb0fR1oVXDZFTcxrE9/4U+5Rx+7yaaThzj3YCGM2FYX1LI6stq75D5RVZZkojH5GK/t4/SlLlEVLhtTv9KwbnzKq75+bbUnSSjsAS/10uvs5uMopJrPsZwdAYDZ6sPgKoOSmKjJaJGyLRmUpFaMej+4oRitpzbIgmLENdJEhYxZcWnWTh/optIREWjuZQI1B8+QUreLPTG/m/RS796W1TO19neTFHO2Kak7mg4xZdWrxwYJ5Nh1FPb6yNep+VcX4A0o458s5H9Pb0UWk0k6kd/Kfa5A+TOvXqdEVdHH3WH2rAnmUnK6q+fcvnvBSDnpvlcOHEMV3sb9pRUNBotRbcs41xNNa72Vvr2/JriyioO7vxn9PYQ5s409r35B25afRu3n29EjY+nIPHqYzIyqipxuhrY3rCTby5aPZZf1VUpigZznB1zXHQvvWXP6b90ebb6QFSPe5HL78JhHD5xfPHzF6lKr7rqdiHE1UmNUDGlzS5PpmbbeS6c7Kan3cmO/3oHa7yD0sXlUT+X/0IN5oRZY9p3xdK/4fODb7L/0z8AsCTehl5RcIbCzI8zE1ZhW5ebdKOeM14/77X3rzWjqir+SARnMMSnTg+94TCRMQ64sCebKViQijlOz4Xj3TQc7aS+pgM1Mvjxs0rKaD1zeqAQm6Io5JUvwKF2Ytb4IH81d9z1v7h1zf9mbuV/x5GWgc/jIX9RJUUlpWhG6SXS1h/i8WXraPYfH1Pc002nr5Mk0/CJ5VeLv8qp7lMTHJEQ04P0sIgpzRpvxJFqpnprI373bjY99giaKK938/rJVppPfsLXFq4F7dheMnaLg4rKr7H7w+cJ+jzoTTaKrZfGYBTrtAM/55iNHO/tY0tHT/+sGkUhrKosiLOwu9tDeyBEqkFHg8/Lw1cO6hmGLcGELaH/2AFfiJP7W0maZSMx0zrQ45I3fyFHd3zInL9ag0arRY1EaGzxMPfhFwYdy5GSSvmtt4/pOQNE/GHunfd1fv7Bv7AiYQnh+CBa6/jPxrke4zXRvbOvk6zU4Qvr3VNyDzvP7xynMwsxvUnCIqa8vHnJ5MxNoutCEmer96PV6cktX3DDtVeqW1385XQbtxekUBbXQtqsTRDsg6ZDEOhl0EeeGumfNZRVxeWLG6VlzedM6xlKckfu8Sm1mim1Dh2Quu6LSwfdwRBdipuAL4RhDLOtLjKYdBRXpdHrDFD/eQcarUJcogmP04/GUMRHL/+ZW//bRk7s/Zji5Td+6SzQ6CJv0RzS21IoLrqJULsX32k/puIEtObYTFyiLRAJYNQOPyYqokZQx3uKkhDTlCQsYlrQaBSSs2eRnD0Ln8fDvjf/wKL1d1/3bJDvv1/LwlkOHqnMpdbjoyF9Kc6PX2HprDzIXNBfv+RK3i448U7/lOe0OQAUlqzg0GdvwCgJy2gS9DpScuJorO2iYGHq6A+4jKIo2BKM2BJSAOhu6cUSZ6Dl5CnMthBnDu5jdsUi9KYbn4UT7gnganSzwvcl+o7CqZ5WjHYD4d4QRVXpaHVj6/1ydbRhSxh+oPRUdrj98JDBuEKIsZGERUw7JpuNhXfexaHNb1N511eGbA+HQigjLPF8pt1DjcvL16tyaPIHWRpvQ59YDiWjJB2WRCjbAK21UPs24fR5nOnuwBY/dOHI66EoCgnpVlrO9JCef32DNp2tXlwd/fVM4pISKVm6KqoF1CKzbBzf1UTlVwrQXPY7PvVZK13NvaRkD070Go4cJhwKXXkY+twuypavilpcV1JVlWDAT/0IA2+v7AdRDE4cGVa0WgsajQmt1oxWa0aj6f9XUfqfb7ev+6rHdAfc2A1Tq36PELFCEhYxLemNJmp3bRs2YXH19GCxDL9Aoj8U5lSbh21fu4HprmlzIKWUQPtJDvkgOX0OjZ2ugc0KkGzQkWMy4BjD7KDLJWZa6Wrupb6mg6zSBHT6sVfrbTrlRG/SknvTxXEw0V/ZOC7dStmaLNrq3QNJla+3v1bMlckK9CePsysWRT2O0SiKQlHV0mt6zOGdL5Fdch+RiJdwuI9w2Ecw1EMk7CMc7gP6BzF3du7g//Y2D3sMd8CNw+hgfsr8G30KQsw4krCIaau3u4uPX3uFW758b39htC+0dvSQdpWpuYcbe1hWOHKNlTHRaDCnlXJP2tBNqqrSEQxx2uvHGfISVlWyTAbm2MZWVC0xw4otwciZ6nY0Gg35FcmjDjTuae9Db9QOmzREmz3JTFdT78DPWp0Gf29w3M87EbRaI1qtEb3+6ssL5HfW8lfFf3fV7dsbt0c/MCFmAElYxLT1nV+9SigQoP7wQbSXjWVp9kBBYd6wj/H4g9iM4/uyUBSFFIN+UOXbhj4/m9udpBn0LHRYRz2GwaSjuDIdV0cfh7Y0sOiOvBH372ruZXZ5FBKxMfL1+Th19BxFc3M5ua+FvHnDn1udrKWfJ5FZZ8YVcMmlISGukdRhEdOazmCgsHIxsysWMbtiUX/RsFCQYx0Btp9oo8d76Zt/d29g5HWExlGO2chfp8Qzy2TgjdbuEWuvtJ1zce5IJ+eOduLp9rHw9twRj93V1Ist/jrWR7gBIYuTzX9+n3AozJzlmbSdc+HzDO1lMZjN9HncwxwhtkSimFhVpVdR3VYdteMJMVNID4uYUXQGA6tXLQYgFI5Q3ejE7QuhKP1l+pdH43LQDUgz6rktyc4nTg/LEgZfvvH7Qmx/9QQp2TZsiSbUiEokAuFQZNixLOFwhAvHu9GbdCOW7B8PRqOR+x/6Gptf30GfpQ+TzULNOR133bVi0H6zSudy+rO9FFUumdD4rpXX1YrZNvoq08GQD0UZeVzRjU63F2KmkoRFzFg6rYab82Jv6qxNp6U3PPgbvaqqXGjr5RtfLhhUhyUYCNN8uodIREVh8MwWRYGMwv6VrSeaPcXOq5/8Fr1Vz7J5yyibVcaWhq2cc50j136pR0hRFOxJKThbW4hPS5/wOMfK1dWAPWn0laDb3HUkWHImICIhZh5JWISIQakGPbu73SyOt+EKhdne5eaeeZkYdIOTD71BO7AYZCxJi08jd3YulWmVZCT0T+u+NXcN75x5h3hj/KC1dNLyCzm592McqWkx2/vQ09lIbtnoayN1eOpIc5QNWuX7Sudc54g3xkc5QiGmP0lYhIhBFXYLXcEQO7vcGDUaNt3gSs+ToTClkIA2MPCzXqOnzduGTnPpbafX2U3r2dOEw2GCfh8G09hmSk20QJ8Hi23oNPDus4dwdxxHqzMT7vaj5Ho50XOB9xp2k2HLwKKzDLSbgkIoEiLFkkJ5SvTXuhJiulPUaVAn2uVy4XA46OnpwW6XkfdCxIoDrQcIRoLckn4LiqLQ7Glm2+fvsNjcX4fE6kggdXZBzCdjdTVv4ul2oijKQGl9RQFfSxsOcxUhv5/iFSvQpw5f30cIMbxr+fyWHhYhxLhZlLYIp8/J1nNbcX5aizHBzvzZFeQX3UBhvklQMG/TVbfVHfiU1MwiSVaEGGeSsAghxlW8KZ7b8m7Dm1hFy+mT4FE5+0VJ/CsHCjtS00jMHH6l41ilN5qJS0qZ7DCEmPYkYRFCTAiL3UH+wsoR9+lqOs/pzz7FZLUyq2TOiGs+xYpwKDioMKEQYnxc07vBL3/5S8rLy7Hb7djtdpYsWcLmzZsHtre0tPCNb3yD9PR0rFYrCxcu5PXXXx/xmD/84Q9RFGXQrbS09PqejRBiSkvMzKLw5ltIzs6j5qMPcLa2THZIoxthRpAQInquqYclKyuLn/3sZxQVFaGqKi+//DIbN27k0KFDzJ07lwceeACn08nbb79NcnIyr776Kvfccw+fffYZCxYsuOpx586dy9atWy8FpZOOHyFmMpPNRvnaO6g78CkWhyNmZw+FQ6GoVsEVQlzdNfWwbNiwgTvvvJOioiKKi4v5yU9+gs1mY+/evQDs2bOH733ve1RVVZGfn88PfvAD4uPjOXDg6ku4Q3+Ckp6ePnBLTp7caqNCiNiQv6CSuv17CYdic/HEC8dryblJpigLMRGu+wJxOBzmtddeo7e3lyVL+stqL126lN/97nd0dXURiUR47bXX8Pl8rFq1asRjnTp1iszMTPLz87n//vtpaGgYcX+/34/L5Rp0E0JMP4pGQ/GSFZzcu5tQMPaSlnAoiN5omuwwhJgRrjlhqampwWazYTQa+fa3v80bb7zBnDlzAPj9739PMBgkKSkJo9HII488whtvvEFhYeFVj3fLLbfw0ksv8d577/HLX/6Ss2fPsmLFCtzuqy+I9tOf/hSHwzFwy84evWS2EGJq0up0lCxZwel9e+h1dk92OINN/TJWQkwZ11w4LhAI0NDQQE9PD3/84x/51a9+xY4dO5gzZw7f+9732LdvH88++yzJycm8+eab/OIXv2DXrl3MmzdvTMd3Op3k5uby85//nIcffnjYffx+P36/f+Bnl8tFdna2FI4TYpo7X3sEf18vSVm5k772kKqqnN7/CUVVSyc1DiGmsmspHHfDlW7Xrl1LQUEBjz/+OIWFhRw5coS5c+cO2l5YWMgLL7ww5mNWVlaydu1afvrTn45pf6l0K8TM0tFQj7O1BXtKKql5+ZMSQ3tDPUaLFXuy1GAR4npdy+f3DRc5iEQi+P1+vF5v/wGvqJug1WqvaRS9x+Ohrq6OjIyMGw1NCDFNJefkUVi5mHAwiKujbVJicLW3SbIixAS6poTlqaeeYufOndTX11NTU8NTTz3F9u3buf/++yktLaWwsJBHHnmEffv2UVdXx7/927+xZcsWNm3aNHCMW2+9leeff37g58cee4wdO3ZQX1/Pnj17uPvuu9Fqtdx3331Re5JCiOkpo6iEjsZzE35eV0c7Rqt1ws8rxEx2TQVP2traeOCBB2hubsbhcFBeXs7777/PbbfdBsC7777Lk08+yYYNG/B4PBQWFvLyyy9z5513Dhyjrq6Ojo6OgZ/Pnz/PfffdR2dnJykpKSxfvpy9e/eSkiLfXIQQo1OU6FfDVSORIVV2A74+nC3NuDs70Gq15FUsivp5hRBXJ6s1CyGmtPrDB8meOw+t7vrL43tdPbSdOU1EjYBK/6rMqIOSIb3JRHxqOrbEpGiELYRAVmsWQswgWWU30XDkc2aPsccjEg7TdraOPrcLFAVUFVNcHDnzKtBoteMcrRDieknCIoSY0nQGA0aLlfrPD5Ezt3xI0qFGInReaBwYnKvRaEmdXUB6YfFkhCuEuE6SsAghprzM4lL8Xi/naqqH3Z6YmUX+gpFXihZCxDZJWIQQ04LRYhnzZSEhxNQT/eH1QgghhBBRJgmLEEIIIWKeJCxCCCGEiHmSsAghhBAi5knCIoQQQoiYJwmLEEIIIWKeJCxCCCGEiHmSsAghhBAi5knCIoQQQoiYJwmLEEIIIWKeJCxCCCGEiHmSsAghhBAi5knCIoQQQoiYJwmLEEIIIWKebrIDiAZVVQFwuVyTHIkQQgghxuri5/bFz/GRTIuExe12A5CdnT3JkQghhBDiWrndbhwOx4j7KOpY0poYF4lEaGpqIi4uDkVRcLlcZGdn09jYiN1un+zwxDCkjWKftFHskzaKbdI+o1NVFbfbTWZmJhrNyKNUpkUPi0ajISsra8j9drtd/khinLRR7JM2in3SRrFN2mdko/WsXCSDboUQQggR8yRhEUIIIUTMm5YJi9Fo5JlnnsFoNE52KOIqpI1in7RR7JM2im3SPtE1LQbdCiGEEGJ6m5Y9LEIIIYSYXiRhEUIIIUTMk4RFCCGEEDFPEhYhhBBCxLxpl7CcPHmSjRs3kpycjN1uZ/ny5Wzbtm3QPoqiDLm99tprkxTxzDOWNrqos7OTrKwsFEXB6XRObKAz2Ght1NnZyR133EFmZiZGo5Hs7Gz+/u//XtbzmiCjtc/hw4e57777yM7Oxmw2U1ZWxnPPPTeJEc88Y3mf+/73v8+iRYswGo1UVFRMTqBTyLRLWNavX08oFOKjjz7iwIEDzJ8/n/Xr19PS0jJov//8z/+kubl54LZp06bJCXgGGmsbATz88MOUl5dPQpQz22htpNFo2LhxI2+//TYnT57kpZdeYuvWrXz729+e5MhnhtHa58CBA6SmpvLb3/6Wo0eP8vTTT/PUU0/x/PPPT3LkM8dY3+ceeugh7r333kmKcopRp5H29nYVUHfu3Dlwn8vlUgF1y5YtA/cB6htvvDEJEYqxtpGqquq///u/qytXrlQ//PBDFVC7u7snONqZ6Vra6HLPPfecmpWVNREhzmjX2z7f+c531NWrV09EiDPetbbRM888o86fP38CI5yaplUPS1JSEiUlJbzyyiv09vYSCoX4j//4D1JTU1m0aNGgfb/73e+SnJxMVVUVv/71r8e0tLW4cWNto9raWn784x/zyiuvjLogloiua3kdXdTU1MSf/vQnVq5cOcHRzjzX0z4APT09JCYmTmCkM9f1tpEYxWRnTNHW2NioLlq0SFUURdVqtWpGRoZ68ODBQfv8+Mc/Vj/++GP14MGD6s9+9jPVaDSqzz333CRFPPOM1kY+n08tLy9Xf/Ob36iqqqrbtm2THpYJNpbXkaqq6te//nXVbDargLphwwa1r69vEqKdecbaPhft3r1b1el06vvvvz+BUc5s19JG0sMyNlPiq+uTTz457EDZy2/Hjx9HVVW++93vkpqayq5du9i3bx+bNm1iw4YNNDc3DxzvH//xH1m2bBkLFizgiSee4PHHH+df//VfJ/EZTn3RbKOnnnqKsrIy/vZv/3aSn9X0Eu3XEcAvfvELDh48yFtvvUVdXR2PPvroJD27qW882gfgyJEjbNy4kWeeeYZ169ZNwjObPsarjcTYTInS/O3t7XR2do64T35+Prt27WLdunV0d3cPWsq7qKiIhx9+mCeffHLYx77zzjusX78en88naz5cp2i2UUVFBTU1NSiKAoCqqkQiEbRaLU8//TQ/+tGPxvW5TFfj/Tr6+OOPWbFiBU1NTWRkZEQ19plgPNqntraW1atX861vfYuf/OQn4xb7TDFer6Ef/vCHvPnmm1RXV49H2NOGbrIDGIuUlBRSUlJG3c/r9QIMGfOg0WiIRCJXfVx1dTUJCQmSrNyAaLbR66+/Tl9f38C2/fv389BDD7Fr1y4KCgqiGPXMMt6vo4vb/H7/DUQ5c0W7fY4ePcqaNWt48MEHJVmJkvF+DYmRTYmEZayWLFlCQkICDz74IP/0T/+E2WzmxRdf5OzZs3zpS18C4M9//jOtra0sXrwYk8nEli1bePbZZ3nssccmOfqZYSxtdGVS0tHRAUBZWRnx8fETHfKMM5Y2evfdd2ltbaWyshKbzcbRo0f5h3/4B5YtW0ZeXt7kPoFpbiztc+TIEdasWcPtt9/Oo48+OjCVVqvVjukDV9yYsbQRwOnTp/F4PLS0tNDX1zfQwzJnzhwMBsMkRR/DJm/4zPjYv3+/um7dOjUxMVGNi4tTFy9erL777rsD2zdv3qxWVFSoNptNtVqt6vz589UXXnhBDYfDkxj1zDJaG11JBt1OvNHa6KOPPlKXLFmiOhwO1WQyqUVFReoTTzwhbTRBRmufZ555RgWG3HJzcycv6BlmLO9zK1euHLadzp49OzlBx7gpMYZFCCGEEDPblJglJIQQQoiZTRIWIYQQQsQ8SViEEEIIEfMkYRFCCCFEzJOERQghhBAxTxIWIYQQQsQ8SViEEEIIEfMkYRFCCCFEzJOERQghhBAxTxIWIYQQQsQ8SViEEEIIEfMkYRFCCCFEzPv/fDMv7pjlSDUAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4010 728371.0 340818.0\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SPECIAL FOR OHIO ### we have some stubborn border enclaves\n",
    "for t in cantFill:\n",
    "    plotPoly(hdCP[t].buffer(0.2))\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    for u in enclaveList:\n",
    "        plotPoly(unitCP[u].buffer(0.01))\n",
    "    for u in borderUnits:\n",
    "        plotPoly(unitGeom[u], 0.2)\n",
    "    print(t,HDvPop[t], totalEnclavePop[t])\n",
    "    for u in HDunitList[t]:\n",
    "        plotPoly(unitGeom[u])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "2a3d7f79-bea4-4201-9fb4-da8ba96af2d1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "we will manually fix these six.  For 1002 and 1004, we will add the enclave.\n",
      "for 1122, 3641, we will drop the CCB and run MUSTFREE\n",
      "for 3959 and 4901, we will simply run MUSTFREE (no CCB in HD now)\n"
     ]
    }
   ],
   "source": [
    "#SPECIAL FOR OHIO ###\n",
    "print(\"we will manually fix these six.  For 1002 and 1004, we will add the enclave.\")\n",
    "print(\"for 1122, 3641, we will drop the CCB and run MUSTFREE\")\n",
    "print(\"for 3959 and 4901, we will simply run MUSTFREE (no CCB in HD now)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "7a61486e-3e4f-45f1-9b6b-383f998d9506",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1002 277750.0 t,ePop\n",
      "1002 1531 t,ePop\n",
      "1002 591534 870815 786629 t,oldPop, updatedPop, aDP\n",
      "1004 265936.0 t,ePop\n",
      "1004 1665.0252358834407 t,ePop\n",
      "1004 592002 859603 786629 t,oldPop, updatedPop, aDP\n"
     ]
    }
   ],
   "source": [
    "for t in [1002, 1004]:       \n",
    "    enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "    for eL in enclaveLists:\n",
    "        ePop = np.sum([unitPop[u] for u in eL])\n",
    "        print(t,ePop,\"t,ePop\")\n",
    "        HDunitList[t] += eL\n",
    "    oldPop = HDvPop[t]\n",
    "    HDvPop[t] = np.sum([unitPop[u] for u in HDunitList[t] ])\n",
    "    print(t,int(oldPop),int(HDvPop[t]),int(aDP),\"t,oldPop, updatedPop, aDP\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "28132048-c35d-4f4b-b0c1-e2c8823e64e3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on HD 1122 cantFill 0 of 4 .Time is now 3154\n",
      "after the MustFree code run, we have the following for cluster usage\n",
      "current avg use and its sd are 1.00029 0.11976\n",
      "CCB cluster 0 = unit 9767 with pop 97574.0 now has use of 0.9619428807178323\n",
      "CCB cluster 1 = unit 9768 with pop 58240.0 now has use of 0.941628371089951\n",
      "CCB cluster 2 = unit 9769 with pop 37102.0 now has use of 0.9645387648642522\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SPECIAL FOR OHIO ###\n",
    "for t in [1122, 3641]:\n",
    "    HDunitList[t] = list(set(HDunitList[t]).difference(barredJettisonSet))\n",
    "    HDvPop[t] = np.sum([unitPop[u] for u in HDunitList[t] ] )\n",
    "cantFill = [1122, 3641, 3959, 4919]  #typo; 4919 should be 4010\n",
    "for iii,t in enumerate(cantFill):\n",
    "    if iii %20 == 0:\n",
    "        print(\"working on HD\",t,\"cantFill\",iii,\"of\",len(cantFill),\".Time is now\",int(time.time() - startTime) )\n",
    "    shedUs = list()    \n",
    "    enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "    nEnclavesPerHD[t] = len(enclaveLists)\n",
    "    HDenclaveLists[t] = enclaveLists.copy()\n",
    "    if debug:\n",
    "        print(\"pre-adjust HDpop for HD\",t,\"is\",HDvPop[t],\"I found\",len(enclaveLists),\"TOTAL enclaves\")\n",
    "    internalEnclaves, edgeEnclaves, combinedEnclBorderList = list(), list(), list()\n",
    "    for jjj, eL in enumerate(enclaveLists.copy() ):\n",
    "        enclaveBorderList = list ( set(eL).intersection(borderSet) )\n",
    "        if debug:\n",
    "            print(\"In enclave\",jjj,\"I found\",len(enclaveBorderList),\"units that were enclaved and are in the map borderSet\")\n",
    "        combinedEnclBorderList += enclaveBorderList\n",
    "        ePop = np.sum( [unitPop[u] for u in eL] )\n",
    "        if len(enclaveBorderList) == 0 or ePop < 0.05 * aDP:  #internal or small enclave.  Fill it\n",
    "            if ePop > 0:  #in a prev treatment, could be an empty (surrounded) unit that we don't care about\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += ePop\n",
    "            internalEnclaves.append(eL)\n",
    "        else:\n",
    "            edgeEnclaves.append(eL)\n",
    "    if debug:\n",
    "        print(\"Of these\",len(internalEnclaves),\"were internal or small, so I filled them, leaving\",\n",
    "              len(edgeEnclaves),\"non-small border = edge enclaves\" )\n",
    "    if debugPlot:\n",
    "        print(\"Here is the original HD, internal enclaves ('x') and non-small border enclaves by enclave no\")\n",
    "        plotPoly(hdCP[t].buffer(0.3))\n",
    "        for u in HDunitList[t]:\n",
    "            if unitPop[u] > 0:\n",
    "                plotPoly(unitGeom[u],0.2)\n",
    "        for L in internalEnclaves:\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u],1.5)\n",
    "                    plotCenter(\"x\",unitCP[u],8)\n",
    "        for L in edgeEnclaves: #############\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u])\n",
    "                    #plotCenter(\"e\",unitCP[u],8)\n",
    "        #plotPoly(MAP,0.4)\n",
    "        #plt.show()\n",
    "    enclaveLists, combinedEnclBorderSet = list(), set(combinedEnclBorderList)\n",
    "    if len(edgeEnclaves) > 0:\n",
    "        # Now, we order by chain connectivity of HD and enclave sublists to be H0-E0-H1-E1 ... En-Hn+1\n",
    "        nonHDborderSet = borderSet.difference(  set(HDunitList[t]) )\n",
    "        nonHDlongBorderSet = nonHDborderSet.difference(combinedEnclBorderSet) #long=non HD boundary excluding enclaves\n",
    "        remainingEnclBorderSet = combinedEnclBorderSet.copy()\n",
    "        remainingHDborderSet =   borderSet.intersection(set(HDunitList[t]) )\n",
    "        #Now find the \"HDender\" unit which borders the non-enclave nonHD boundary, then find opp end of this HD bdry piece\n",
    "        HDender = list(set(getAdjoiners(nonHDlongBorderSet,unitNbrs)).intersection(remainingHDborderSet) )[0]\n",
    "        firstHDborderSet = getContigFromStarter(HDender,remainingHDborderSet,unitNbrs)\n",
    "        HDstarter = list(set(getAdjoiners(remainingEnclBorderSet,unitNbrs)).intersection(firstHDborderSet))[0]\n",
    "        HDborderSublists = [ list(firstHDborderSet) ]\n",
    "        unused = [1 for eL in edgeEnclaves]\n",
    "        eLadjoiners = [getAdjoiners(eL,unitNbrs) for eL in edgeEnclaves ]\n",
    "        for j in range(len(edgeEnclaves)): #find the enclave with the most HDstarter neighbors (at least 1)\n",
    "            found = False\n",
    "            for i,eL in enumerate(edgeEnclaves):\n",
    "                if unused[i] == 1:\n",
    "                    HDadjSet = set(HDborderSublists[j]).intersection(set(eLadjoiners[i]))\n",
    "                    if len(HDadjSet) > 0:\n",
    "                        unused[i] = 0\n",
    "                        eNo = i\n",
    "                        found = True\n",
    "                        remainingEnclBorderSet = remainingEnclBorderSet.difference(set(edgeEnclaves[eNo]) )\n",
    "                        enclaveLists.append(edgeEnclaves[eNo])\n",
    "                        remainingHDborderSet = remainingHDborderSet.difference(set(HDborderSublists[j]) )\n",
    "                        HDstarter = list(set(eLadjoiners[i]).intersection(remainingHDborderSet))[0]       \n",
    "                        HDborderSublists.append(getContigFromStarter(HDstarter,remainingHDborderSet,unitNbrs) )\n",
    "                        break\n",
    "                if found:\n",
    "                    break\n",
    "\n",
    "        enclavePops = [np.sum([unitPop[u] for u in L]) for L in enclaveLists]\n",
    "        #print(\"prior to adjustments, border enclavePops are\",enclavePops)         \n",
    "\n",
    "        nHDBS, nEnclaves = len(HDborderSublists), len(enclaveLists)\n",
    "        popToFree, freeingCounties, freeingUnits = [0. for n in range(nHDBS)], [list() for n in range(nHDBS) \n",
    "                                                                               ],[list() for n in range(nHDBS)]\n",
    "        for j,L in enumerate(HDborderSublists):\n",
    "            for u in L:\n",
    "                if int(allUnits[u]) == allUnits[u]:  #this border unit is a vtd\n",
    "                    c = countyNo[parentVTDno[allUnits[u]]]   #countyNo[allUnits[u]]\n",
    "                    if c not in freeingCounties[j]:\n",
    "                        if countyPop[c] < 0.1 * aDP:  #plan to add all in-county pop\n",
    "                            freeingCounties[j].append(c)\n",
    "                        else:\n",
    "                            popToFree[j] += unitPop[u]\n",
    "                            freeingUnits[j].append(u)\n",
    "                else: #border unit is a full county or cluster, or in a dense county.  Add the whole unit pop\n",
    "                    popToFree[j] += unitPop[u]\n",
    "                    freeingUnits[j].append(u)\n",
    "            for c in freeingCounties[j]:  #include ALL in-HD pop from each non-unit border county, not just its border units\n",
    "                #plotPoly(countyGeom[c],0.1)\n",
    "                for u in countyUnitList[c]:\n",
    "                    if u in HDunitList[t]:\n",
    "                        popToFree[j] += unitPop[u]\n",
    "                        freeingUnits[j].append(u)\n",
    "        freeingCP = [ getHDcp(  unitCP, unitPop, L) for L in freeingUnits ]\n",
    "        freeingScore = [ pTF/aDP - 0.5*freeingCP[j].distance(hdCP[t]) / avgDist[t] for j,pTF in enumerate(popToFree) ]\n",
    "        for j, fU in enumerate(freeingUnits):  #in above 0.5 is a fudgy\n",
    "            if len(barredJettisonSet.intersection(set(fU)) ) > 0: #has a cluster we want to hold onto\n",
    "                freeingScore[j] += clusterJettisonBoost #  ..so increase its score (make it harder to drop)\n",
    "        if debugPlot:\n",
    "            print(\"plotting the freeing units with negative numbers for each freeing group\")\n",
    "            for j,L in enumerate(freeingUnits):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        #plotPoly(unitGeom[u],0.5)\n",
    "                        plotCenter(\"-\"+str(j),unitGeom[u],6)\n",
    "                        pass\n",
    "            print(\"plotting the enclaveLists, with + numbers for each enclave\")\n",
    "            for j,L in enumerate(enclaveLists):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        plotPoly(unitGeom[u])\n",
    "                        plotCenter(j,unitCP[u],8)\n",
    "                        pass\n",
    "    \n",
    "    while len(enclaveLists) > 0:\n",
    "        if HDvPop[t] + np.min(enclavePops) < 1.05*aDP or np.min(enclavePops) < 0.05 * aDP:  #fill the smallest enclave\n",
    "            eNo = enclavePops.index(np.min(enclavePops))\n",
    "            HDunitList[t] += enclaveLists[eNo]\n",
    "            HDvPop[t] += enclavePops[eNo]\n",
    "            #print(t,\"=t. Absorbing enclave\",eNo,\"with pop\",enclavePops[eNo],\"HD total pop now\",int(HDfreePop[t]) )\n",
    "            enclaveBUs = list(set(enclaveLists[eNo]).intersection(set(borderUnits)) )\n",
    "            enclaveBpop = np.sum([unitPop[u] for u in enclaveBUs])\n",
    "            sNo, dropped_sNo = eNo, eNo+1\n",
    "            freeingScore[sNo] += freeingScore[sNo+1]+enclaveBpop/aDP\n",
    "            freeingUnits[sNo] += freeingUnits[sNo+1]+enclaveBUs\n",
    "            popToFree[sNo]    +=    popToFree[sNo+1]+enclaveBpop\n",
    "        else: #jettison one of the two end HD border lists; pick the less painful path to freedom\n",
    "            distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "            starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "            eNo, dropped_sNo = 0,0\n",
    "            if starterU not in freeingUnits[-1]:  #we can't drop the home unit, even to save an underused corner\n",
    "                if freeingScore[-1] < freeingScore[0] or starterU in freeingUnits[0]:\n",
    "                    eNo, dropped_sNo = len(enclaveLists)-1,len(enclaveLists)\n",
    "            barredIncluded0 = barredJettisonSet.intersection(set(freeingUnits[0]))\n",
    "            barredIncluded_1 = barredJettisonSet.intersection(set(freeingUnits[-1]))\n",
    "            #if len(barredIncluded0.union(barredIncluded_1)) > 0:\n",
    "            #    print(\"We are considering dropping an end unit to free from t\",t,\". Chosen, beg, end, scores are\")\n",
    "            #    print(dropped_sNo,barredIncluded0, barredIncluded_1, freeingScore[0], freeingScore[-1])\n",
    "            HDunitList[t] = list( set(HDunitList[t]).difference(set(freeingUnits[dropped_sNo]) ) )\n",
    "            HDvPop[t] -= popToFree[dropped_sNo]\n",
    "            #print(t,\"= t. Jettisoning HDborder\",dropped_sNo,\"with popToFree\",popToFree[dropped_sNo] )\n",
    "        del enclaveLists[eNo]\n",
    "        del enclavePops[eNo]\n",
    "        if debug:\n",
    "            print(t,\"= t. Now we have\",len(enclaveLists),\"left trapped.  Picked eNo, freeScores were\", eNo,freeingScore)\n",
    "        del freeingScore[dropped_sNo]\n",
    "        del freeingUnits[dropped_sNo]\n",
    "        del popToFree   [dropped_sNo] \n",
    "\n",
    "    #plotPoly(MAP,0.4)\n",
    "    if debugPlot:\n",
    "        plt.show()    \n",
    "        \n",
    "unitUse = [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t]*nDistricts\n",
    "print(\"after the MustFree code run, we have the following for cluster usage\")\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "id": "8146b45e-7df5-4700-9d94-0764973c6855",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on HD 4010 cantFill 0 of 4 .Time is now 1348\n",
      "after the MustFree code run, we have the following for cluster usage\n",
      "current avg use and its sd are 1.00029 0.11976\n",
      "CCB cluster 0 = unit 9767 with pop 97574.0 now has use of 0.9619428807178323\n",
      "CCB cluster 1 = unit 9768 with pop 58240.0 now has use of 0.941628371089951\n",
      "CCB cluster 2 = unit 9769 with pop 37102.0 now has use of 0.9645387648642522\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SPECIAL FOR OHIO ###\n",
    "\n",
    "#cantFill = [1122, 3641, 3959, 4919]  #typo; 4919 should be 4010\n",
    "for iii,t in enumerate([4010]):\n",
    "    if iii %20 == 0:\n",
    "        print(\"working on HD\",t,\"cantFill\",iii,\"of\",len(cantFill),\".Time is now\",int(time.time() - startTime) )\n",
    "    shedUs = list()    \n",
    "    enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "    nEnclavesPerHD[t] = len(enclaveLists)\n",
    "    HDenclaveLists[t] = enclaveLists.copy()\n",
    "    if debug:\n",
    "        print(\"pre-adjust HDpop for HD\",t,\"is\",HDvPop[t],\"I found\",len(enclaveLists),\"TOTAL enclaves\")\n",
    "    internalEnclaves, edgeEnclaves, combinedEnclBorderList = list(), list(), list()\n",
    "    for jjj, eL in enumerate(enclaveLists.copy() ):\n",
    "        enclaveBorderList = list ( set(eL).intersection(borderSet) )\n",
    "        if debug:\n",
    "            print(\"In enclave\",jjj,\"I found\",len(enclaveBorderList),\"units that were enclaved and are in the map borderSet\")\n",
    "        combinedEnclBorderList += enclaveBorderList\n",
    "        ePop = np.sum( [unitPop[u] for u in eL] )\n",
    "        if len(enclaveBorderList) == 0 or ePop < 0.05 * aDP:  #internal or small enclave.  Fill it\n",
    "            if ePop > 0:  #in a prev treatment, could be an empty (surrounded) unit that we don't care about\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += ePop\n",
    "            internalEnclaves.append(eL)\n",
    "        else:\n",
    "            edgeEnclaves.append(eL)\n",
    "    if debug:\n",
    "        print(\"Of these\",len(internalEnclaves),\"were internal or small, so I filled them, leaving\",\n",
    "              len(edgeEnclaves),\"non-small border = edge enclaves\" )\n",
    "    if debugPlot:\n",
    "        print(\"Here is the original HD, internal enclaves ('x') and non-small border enclaves by enclave no\")\n",
    "        plotPoly(hdCP[t].buffer(0.3))\n",
    "        for u in HDunitList[t]:\n",
    "            if unitPop[u] > 0:\n",
    "                plotPoly(unitGeom[u],0.2)\n",
    "        for L in internalEnclaves:\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u],1.5)\n",
    "                    plotCenter(\"x\",unitCP[u],8)\n",
    "        for L in edgeEnclaves: #############\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u])\n",
    "                    #plotCenter(\"e\",unitCP[u],8)\n",
    "        #plotPoly(MAP,0.4)\n",
    "        #plt.show()\n",
    "    enclaveLists, combinedEnclBorderSet = list(), set(combinedEnclBorderList)\n",
    "    if len(edgeEnclaves) > 0:\n",
    "        # Now, we order by chain connectivity of HD and enclave sublists to be H0-E0-H1-E1 ... En-Hn+1\n",
    "        nonHDborderSet = borderSet.difference(  set(HDunitList[t]) )\n",
    "        nonHDlongBorderSet = nonHDborderSet.difference(combinedEnclBorderSet) #long=non HD boundary excluding enclaves\n",
    "        remainingEnclBorderSet = combinedEnclBorderSet.copy()\n",
    "        remainingHDborderSet =   borderSet.intersection(set(HDunitList[t]) )\n",
    "        #Now find the \"HDender\" unit which borders the non-enclave nonHD boundary, then find opp end of this HD bdry piece\n",
    "        HDender = list(set(getAdjoiners(nonHDlongBorderSet,unitNbrs)).intersection(remainingHDborderSet) )[0]\n",
    "        firstHDborderSet = getContigFromStarter(HDender,remainingHDborderSet,unitNbrs)\n",
    "        HDstarter = list(set(getAdjoiners(remainingEnclBorderSet,unitNbrs)).intersection(firstHDborderSet))[0]\n",
    "        HDborderSublists = [ list(firstHDborderSet) ]\n",
    "        unused = [1 for eL in edgeEnclaves]\n",
    "        eLadjoiners = [getAdjoiners(eL,unitNbrs) for eL in edgeEnclaves ]\n",
    "        for j in range(len(edgeEnclaves)): #find the enclave with the most HDstarter neighbors (at least 1)\n",
    "            found = False\n",
    "            for i,eL in enumerate(edgeEnclaves):\n",
    "                if unused[i] == 1:\n",
    "                    HDadjSet = set(HDborderSublists[j]).intersection(set(eLadjoiners[i]))\n",
    "                    if len(HDadjSet) > 0:\n",
    "                        unused[i] = 0\n",
    "                        eNo = i\n",
    "                        found = True\n",
    "                        remainingEnclBorderSet = remainingEnclBorderSet.difference(set(edgeEnclaves[eNo]) )\n",
    "                        enclaveLists.append(edgeEnclaves[eNo])\n",
    "                        remainingHDborderSet = remainingHDborderSet.difference(set(HDborderSublists[j]) )\n",
    "                        HDstarter = list(set(eLadjoiners[i]).intersection(remainingHDborderSet))[0]       \n",
    "                        HDborderSublists.append(getContigFromStarter(HDstarter,remainingHDborderSet,unitNbrs) )\n",
    "                        break\n",
    "                if found:\n",
    "                    break\n",
    "\n",
    "        enclavePops = [np.sum([unitPop[u] for u in L]) for L in enclaveLists]\n",
    "        #print(\"prior to adjustments, border enclavePops are\",enclavePops)         \n",
    "\n",
    "        nHDBS, nEnclaves = len(HDborderSublists), len(enclaveLists)\n",
    "        popToFree, freeingCounties, freeingUnits = [0. for n in range(nHDBS)], [list() for n in range(nHDBS) \n",
    "                                                                               ],[list() for n in range(nHDBS)]\n",
    "        for j,L in enumerate(HDborderSublists):\n",
    "            for u in L:\n",
    "                if int(allUnits[u]) == allUnits[u]:  #this border unit is a vtd\n",
    "                    c = countyNo[parentVTDno[allUnits[u]]]   #countyNo[allUnits[u]]\n",
    "                    if c not in freeingCounties[j]:\n",
    "                        if countyPop[c] < 0.1 * aDP:  #plan to add all in-county pop\n",
    "                            freeingCounties[j].append(c)\n",
    "                        else:\n",
    "                            popToFree[j] += unitPop[u]\n",
    "                            freeingUnits[j].append(u)\n",
    "                else: #border unit is a full county or cluster, or in a dense county.  Add the whole unit pop\n",
    "                    popToFree[j] += unitPop[u]\n",
    "                    freeingUnits[j].append(u)\n",
    "            for c in freeingCounties[j]:  #include ALL in-HD pop from each non-unit border county, not just its border units\n",
    "                #plotPoly(countyGeom[c],0.1)\n",
    "                for u in countyUnitList[c]:\n",
    "                    if u in HDunitList[t]:\n",
    "                        popToFree[j] += unitPop[u]\n",
    "                        freeingUnits[j].append(u)\n",
    "        freeingCP = [ getHDcp(  unitCP, unitPop, L) for L in freeingUnits ]\n",
    "        freeingScore = [ pTF/aDP - 0.5*freeingCP[j].distance(hdCP[t]) / avgDist[t] for j,pTF in enumerate(popToFree) ]\n",
    "        for j, fU in enumerate(freeingUnits):  #in above 0.5 is a fudgy\n",
    "            if len(barredJettisonSet.intersection(set(fU)) ) > 0: #has a cluster we want to hold onto\n",
    "                freeingScore[j] += clusterJettisonBoost #  ..so increase its score (make it harder to drop)\n",
    "        if debugPlot:\n",
    "            print(\"plotting the freeing units with negative numbers for each freeing group\")\n",
    "            for j,L in enumerate(freeingUnits):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        #plotPoly(unitGeom[u],0.5)\n",
    "                        plotCenter(\"-\"+str(j),unitGeom[u],6)\n",
    "                        pass\n",
    "            print(\"plotting the enclaveLists, with + numbers for each enclave\")\n",
    "            for j,L in enumerate(enclaveLists):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        plotPoly(unitGeom[u])\n",
    "                        plotCenter(j,unitCP[u],8)\n",
    "                        pass\n",
    "    \n",
    "    while len(enclaveLists) > 0:\n",
    "        if HDvPop[t] + np.min(enclavePops) < 1.05*aDP or np.min(enclavePops) < 0.05 * aDP:  #fill the smallest enclave\n",
    "            eNo = enclavePops.index(np.min(enclavePops))\n",
    "            HDunitList[t] += enclaveLists[eNo]\n",
    "            HDvPop[t] += enclavePops[eNo]\n",
    "            #print(t,\"=t. Absorbing enclave\",eNo,\"with pop\",enclavePops[eNo],\"HD total pop now\",int(HDfreePop[t]) )\n",
    "            enclaveBUs = list(set(enclaveLists[eNo]).intersection(set(borderUnits)) )\n",
    "            enclaveBpop = np.sum([unitPop[u] for u in enclaveBUs])\n",
    "            sNo, dropped_sNo = eNo, eNo+1\n",
    "            freeingScore[sNo] += freeingScore[sNo+1]+enclaveBpop/aDP\n",
    "            freeingUnits[sNo] += freeingUnits[sNo+1]+enclaveBUs\n",
    "            popToFree[sNo]    +=    popToFree[sNo+1]+enclaveBpop\n",
    "        else: #jettison one of the two end HD border lists; pick the less painful path to freedom\n",
    "            distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "            starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "            eNo, dropped_sNo = 0,0\n",
    "            if starterU not in freeingUnits[-1]:  #we can't drop the home unit, even to save an underused corner\n",
    "                if freeingScore[-1] < freeingScore[0] or starterU in freeingUnits[0]:\n",
    "                    eNo, dropped_sNo = len(enclaveLists)-1,len(enclaveLists)\n",
    "            barredIncluded0 = barredJettisonSet.intersection(set(freeingUnits[0]))\n",
    "            barredIncluded_1 = barredJettisonSet.intersection(set(freeingUnits[-1]))\n",
    "            #if len(barredIncluded0.union(barredIncluded_1)) > 0:\n",
    "            #    print(\"We are considering dropping an end unit to free from t\",t,\". Chosen, beg, end, scores are\")\n",
    "            #    print(dropped_sNo,barredIncluded0, barredIncluded_1, freeingScore[0], freeingScore[-1])\n",
    "            HDunitList[t] = list( set(HDunitList[t]).difference(set(freeingUnits[dropped_sNo]) ) )\n",
    "            HDvPop[t] -= popToFree[dropped_sNo]\n",
    "            #print(t,\"= t. Jettisoning HDborder\",dropped_sNo,\"with popToFree\",popToFree[dropped_sNo] )\n",
    "        del enclaveLists[eNo]\n",
    "        del enclavePops[eNo]\n",
    "        if debug:\n",
    "            print(t,\"= t. Now we have\",len(enclaveLists),\"left trapped.  Picked eNo, freeScores were\", eNo,freeingScore)\n",
    "        del freeingScore[dropped_sNo]\n",
    "        del freeingUnits[dropped_sNo]\n",
    "        del popToFree   [dropped_sNo] \n",
    "\n",
    "    #plotPoly(MAP,0.4)\n",
    "    if debugPlot:\n",
    "        plt.show()    \n",
    "        \n",
    "unitUse = [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t]*nDistricts\n",
    "print(\"after the MustFree code run, we have the following for cluster usage\")\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "id": "18f46c40-7f28-4714-962f-0b462ff97b8a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final ??? check -- any more disco's ?\n",
      "working on HD 0 time is now 0 sec\n",
      "working on HD 500 time is now 7 sec\n",
      "working on HD 1001 time is now 16 sec\n",
      "working on HD 1502 time is now 25 sec\n",
      "working on HD 2002 time is now 31 sec\n",
      "working on HD 2502 time is now 39 sec\n",
      "working on HD 3003 time is now 46 sec\n",
      "working on HD 3503 time is now 52 sec\n",
      "working on HD 4004 time is now 60 sec\n",
      "working on HD 4505 time is now 66 sec\n",
      "working on HD 5006 time is now 72 sec\n",
      "working on HD 5506 time is now 81 sec\n",
      "working on HD 6006 time is now 91 sec\n",
      "working on HD 6506 time is now 101 sec\n",
      "working on HD 7006 time is now 111 sec\n",
      "working on HD 7506 time is now 122 sec\n",
      "working on HD 8006 time is now 134 sec\n",
      "working on HD 8507 time is now 142 sec\n",
      "out of 8934 total HDs, there were 8934 0 0 0 HDs that were clean, discontig only, enclave-only, both problems after triage\n",
      "this took 151 seconds with maxLoop =  5\n"
     ]
    }
   ],
   "source": [
    "print(\"final ??? check -- any more disco's ?\")  #run again if we ran above block to fill minor enclaves\n",
    "maxLOOP = 5  #can increase to avoid false enclave detection\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime),\"sec\")\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs, maxLOOP)\n",
    "    if not noEnclave:\n",
    "        noEnclave, enclaveList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n",
    "print(\"this took\",int(time.time() - startTime),\"seconds with maxLoop = \", maxLOOP)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "id": "de4d8af8-cc64-4215-9b95-f4c6a2bd03af",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "savedAgainUnitList = [HDunitList[t].copy() for t in range(nHDs)] #safekeeping    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "f4bb76c7-0ae0-40cb-9c6a-ee436dfc30c4",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "HDunitList = [savedAgainUnitList[t].copy() for t in range(nHDs)]  #restart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "id": "f3bcd6a8-40b6-4764-a0d1-6814e3286cb8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking on our corner clusters and unit county usage\n",
      "usage, unit no, unit pop, type (0.5 = unit county, 0.25 = cluster) ...\n",
      "1.12046     0     14483 0.5\n",
      "0.96092     1     13385 0.5\n",
      "1.01297     2     13802 0.5\n",
      "0.95326     3     14115 0.5\n",
      "1.0148     4     12800 0.5\n",
      "0.96194     9767     97574 0.25\n",
      "0.94163     9768     58240 0.25\n",
      "0.96454     9769     37102 0.25\n"
     ]
    }
   ],
   "source": [
    "print(\"checking on our corner clusters and unit county usage\")\n",
    "print(\"usage, unit no, unit pop, type (0.5 = unit county, 0.25 = cluster) ...\")\n",
    "for u in range(nUnits):\n",
    "    if int(allUnits[u]) != allUnits[u] :\n",
    "        print(r5(unitUse[u]),\"   \",u,\"   \",int(unitPop[u]), allUnits[u]%1 )\n",
    "# note for MN, option 3 here led to tight CCB unit usage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "id": "1e983c03-777a-4e81-bed0-34a620175f83",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "let's visualize over-used and underused units, < 0.75 or > 1.25\n"
     ]
    },
    {
     "data": {
      "image/png": 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DPIvG5wcVHukqiQHgE7Ww3HvvvSiKwk033ZTb9vjjj3P66afj8/lQFIW2trYDHufOO+9EUZROt6qqqk9SNSHEQSizWzm3OA9VgX/Xt7Itmuj1Mdr38XfT/dO+xMCCpgCvNwdZ2BzkzZYQ9ckUobTOGy0hXm0K8GE2n4zoP2piCRY0BVjQFGBjOMYol4MzCnwcf4DFP4XoqYNuYVmxYgWPPfYYkyZN6rQ9Go0yd+5c5s6dy2233dbj402YMIGFCxd2VMwijT9CHCmjXA5GuRxsjMR4tSmAS1OZ6fdg2c9CjXHd4PWWIOUOG2cW+vZZbrzHuc8cMOOy219qbCOQ0jkx30NE1/nltjp+NHKwpGjvg1YHozQmU5Q7bId04LYQH3dQUUE4HObKK6/kd7/7HXfffXen59pbWxYtWtS7ilgslJWVHUx1hDgo/7nvZ5iGwbBjpxFubcm07J10KgWDhx7pqvUZ7UsAhNM6b7WGMACTTFK6YpuFYFrHNMEg01x7dqF/v0FNT51XnMfytjALm4MYpslEj1OClb0EUmn2JFN4NI0iqwXHEZiB1ZhMsawtwlSfK9dyJsThdFABy/XXX895553H7NmzuwQsB2vz5s0MHjwYh8PBCSecwD333ENFRUW3ZROJBIlER1N1MBg8JHUQR5fNy5cAsGXFsty2pf98mpv/9h8UVcaj781j0Thjr1aTtGES0nX8Fu2w5ViZsVdXwiuNgcNyjv7ANE1eaAygKWDP/rvMs2gMsluJ6AbLomHSJoTTOiZQbLNwnN+dK3uoBdM6S9vC+CwaFxym/D1CdKfXAcu8efNYtWoVK1asOGSVmDFjBk8++SRjx45lz5493HXXXZxyyil88MEH3a6Ye88993DXXXcdsvOLo49pmvt8LhYO4fJJ0/b+WFSFfPXwd9u2Jxkb4zr4AcD9TcowWReK0prWc9uGOW37TFvfPjjaNE0URSGi6yxvi5A2TdpDSauqUO6wMdRhy7VUJQyDmliSXfEkBrC/sNOqKCSz7xm7qnBWoU+SAYpPXa8+cWpra7nxxhtZsGABDseh+wA555xzcvcnTZrEjBkzqKys5B//+AfXXHNNl/K33XYbN998c+5xMBikvLz8kNVHHB1Kho2kYXs1ADMvvYJl/5oHwGt/+C3uvHwUVUXVNBRVZdikqVRMnLS/w4nDYHcixWiXIze2ZSBKGgZrQzEC2QDFoihM9DiZautdQNg+u8qtaZxa0PmHXtIw2BFP8nZrGD0beNhUhQqHjVMLvAfsbksaBtbshAhxdOoL/+V79Y5YuXIlDQ0NTJ06NbdN13UWL17MQw89RCKRQNO0T1ypvLw8xowZw5YtW7p93m63Y7cfmgRX4uikKApX/uw+7v/ChQC5YAXgo2Vvdyn/weuv8v9+//SnVj+RcazXxcpAhHWhKMcMgIXxkobB9zbtZJjTlrsei6JwrNd5WJPq2VQ1N5D6YPcXR7d9t0l/enr1Dpk1axbr1q3rtO3qq6+mqqqKW2+99ZAEK5AZ1FtdXc1VV111SI4nRHdUTWPK3AvYvPwdwq0tue0zL/08pmFgGDqxYJAP3niVdCp1BGt6dJvmd/NBKMrStjAn9OMpsjtiCd5pC3PFoAImeJx4LYfm81KIo0WvAhav18vEiZ3XfnW73RQWFua219XVUVdXl2sdWbduHV6vl4qKCgoKCoBM4HPxxRdzww03APCd73yHCy64gMrKSnbv3s2Pf/xjNE3j85///Ce+QCH258yrv8aZV3+NlS89z6I//Y4xJ5zCSZ+7Mvd8047tfPDGq1hstiNYSzHR66I2nuSFhjbOLvIdtgGlh8P6cIwdsSRDHVZJoCbEJ3DI2yAfffTRTgNiTz31VACeeOIJvvzlLwNQXV1NU1NTrszOnTv5/Oc/T3NzM8XFxZx88sksW7aM4uLiQ109IYjFYqRSKRRFIRqNsmDBAuzP/h2sULP4Df61dh2zf3QX/hEjcy0rFqsELEdaucNGmc3KwuYAw5z2Pj2uxTRNVgajNCXTVHkczC2WQdxCfFKKub/pEv1EMBjE7/cTCATw+fadsOqTeKM52Glap+ifNm/ezNNPP91lltCM115l/eCCzoWzsyxMRcGjm5yVsuI75xyKvv61T6/ColsfReJsjMQ5p8iP9RDkfTmQ9hk4u+NJmlNpUqaJXVWxKQo2VUFVFPbEk0R0A53M7KazCv0U9XLgrBB91eH6DuzN97e8m8RRZffu3d1OadY9eUzfuofNZfkE2gcmKkpuoJk/ECJR20hTTY0ELH3AGLeDYU4br7cEUYDZh2ma7dZogi3ROBHdwG/RKLNbKbNbsSgKKcMkbhikzcwU4fEeJx4ZlyIGqL7QsiEBixiQEokEGzduJJFIYBgGuq5jGAbbt28HYNq0aZxcNoVFzy/gfUsNwTw/I7dtoyQUZWd5Jfk3XI6KQsWQ8ZiJFPZolF3f/BamDL7tM2yqypwiP6G0zsLmTPLIoQ4b49yOTzT9NqobLGsLkzZNRrjsnC3p5oXoEyRgEQPSc889x8aNG/f5/IYWg2++8z5QwjBDw1vUymRgwRSF38/dBW33AfCPyl8zbvqZpNvHXOn6vg4pjhCvRcsFFTvjSV5pCuDRNEa57Qyy93zsUU0swcZIHKeqcnK+R6byHs0MHfRk520WB0gemiNKAhYxIO0drEycOBFVVdE0DVVVsdtj/ODtCJD5kttuFLI+38eU+5NYtp7M2HArW121pNQ0n3v/Rqpes/Pz03+RO96WWbPBNDFNE+8Zp1N2xx2f8tWJfRmazeYa0w02R+OsCUbxWTSmd5Oq3jBNNkTi7I5nvpjKnTbmSGvK0W3P+/Dit2HPWjA+1prqL4djPw9n/EAClyNEAhYxoBUWFnLZZZd12rZixXeZPjjNK9tn57ZZGoYy6s0nufMEFx/5MuMQCnbfgpZuYGNRgqUfzmd6URF6UxOpXbty+7U+/TdKf/QjWXuoj3FqKpO8LiZ5XYTTOu+2RUhmB1ErkEtFX+V2MEGCFNFuzdOwa2X3zwVqYfHPYdqXwT/kU61WX9AXQjQJWMSANGXKFFavXs3kyZO7PKdXw2fH/IfzR7xKza5xsCifueZEvnGWMxesAITzv4i/MdM1NGLwBEa++H0S27ahqCrplhZ2fuP/gdUqwUof57FonFLQdU0yIbpIxzN/J18J5/yc3FBTPQU/H569n+h214FOBt0KcZi0D7rsbkZQWfNlxHYPJqHtZufCGjbaCxhS/BYJfRKQnyt3+x/nsa3YIC9iMvNPmazLrilTAEju2AGAarUe5isRQnwS9ff+H+nGRtwnnoCWnw8ooGbXRVJVCO3B7olizfdgbHyVeKOV1KLlUPdLFAUMdKK2FtQCG4oKtL1Jc2ADG5tKcLvKsWoKFlXFoiqMKfNS5JFlYw4XycPSQ5KHpX8pe2NN7r49nULJ/jNXMFFMcJpWrAa0Ld4DgNdQODetEMjXeG+Mm88s30NBNI6hrUJRkqguV7ZJVEFRwIzFIJVixK4a5l5mBZRMv7aiZu6bBr93H8f8/OMw8oZhAnO3zuPs+kVUOm0oPW1gza+E8x8AiySuE+JgfHB8FYkqAyWloKRASYK1VkGNdbwHVZvB6M/Uo1oynxO7luYRrOm8dlXbFWmipxoA/HTZLWwPVnY5V6nPzhvfOR3XAMy/83pzkDMlD4sQh1fC0rUVJNp+Z9YgipqSfP3NaO6JY3YlgEwSubC3laSjuetBnZksqxGfm7lbf9fl6YeHXsFPh2ZXIW8LA/Cn9Q/h0WO9q3zN2zD5CzDs5N7tJ4QAoO1/0iTGdf5drjVC5T+mYJoGyY3rMZIqiagXmzOEZjWxOAxcFZl8TNHWBEbSwBZQsVEKeRW0xjMtsWNKbDhsTtK6yfo9QeqDCTbsCTKtsqBLPfo7GcMixGFyfrGfFxsDnJfn4vqyPNKGgWma6IaBYZqkDYOUYRIzDFav2pPbL+lWOPcEKwsXZmaOjCkuZmRFWaZryTAwDANMaGvdzdtNYTS7AZf8DkwTMME0SaZT/DQ0qVN97hziyQUroXPvx+vO54BevQMCOyB9dPaZC3EoqFWDgN0A2BodJIvj6IUw/F//BGDryeNJNJnoJ/6I+HuP4LZux3P6GZR++0/EGrexZF3H4PwJE26lrPQCeP7vANxzYQnTRh4LwGm/eIOa5iji8JGARQxIJbZMq8oYv5epg0r2W7aBRtpDAlvEzAUrAIMmjGPK3GO77FO7cgFvv/AOmkWFSZ/r9NyeaByWd84BM8cRz903x18Mnh4ELG/fnwlYTOPAZYUQ3VLcLojC1Cl/xRrxsPyjCzFReOSmbzKqtpqKFoOUxcob77/DdsdpOJnBmevXMwL48J1vwF69FDXbH6Ws9AICicyq4bWtKaZml20w2rudB+iU574wdkSmN4gBSct+Zug9GKJ17hVju91uYjBkePcLcOp6GgC1m7dxpctB7SmdVzW/dtO63H2HvYeL9qnZ3xNGer/FdEPHNE0SegLdkMR2QnTWHvCrJCyZrzxFNWnIK2TJMcezdsIxvHzuOazURtBMATsZzJaImw03n0/At7nTkZyuSuqfWMlvcPEUbqb/M8abt79FJJLEyJ5mAAwL7bOkhUUMSGq2x7UnbRODK/3UXKiwotHNsMZW5lgsDBlVwLhpwykqy+t2HyOdaYXZ17p7VouF5/M+4MLWKlAsNOgl2fooWLWeDaB9SovzWMVQEst/gLriDhRFQSEzu0FFRVEUdFMnkop0XIt7MM9d+Bwuq2s/Rxbi6BGNbgUgkahDUYbntiuKjmlqrJ8wocs+iYAVVlVjq1JIjsq2nMShrPRiGj5qRNEaSaDRYPgYmfaxvbqVIo+NXW0x3t3WOiDHsPQFErCIAUntRQsLgM/vY4NDQyt2ccU5pxywvKGnOp1nb4l4gAuePpk9Gvjt40nbhnGKrxyAuKLg6mHelpeUKCFVBTMN+v5bWdrtjuymNlTL2ILuW42EGMge/sbrYMKQMXnklblRVYW4tYLQzin8Zd2r1Hvj6Hk2VExq/R+hmNkfAdm/lpRJUTM0jE2jDMnHXJpEfRtUuxX/3HOpWbOJl+xNXc5buSFKWzDz8yjRtB1q6gEFUzdJJovAUZrpUzFBT+s0h1IoHlt27FuG02ejcLDn03mhDkJf6OiSgEUMSFq2H9noYets+0q/PW3MNdLp7Hm67rG15k32ZPPP2RLrmWOL870RZ8PbkOpF/3bYzHTv3Dv+WiaPuxTDzAz4NcgMIG7/mzJS5Nvz+dyLn6Ml3tLj4wsx4GTfjrs+amPXR20AOAquJN4yAicwDFhe7mP10AWQv77L7ie9X8jgXR7asNDGXq0kCeAfyzP3x03vst+Da0K0mplWzYnv3w0frAIyX/I208KexBMY2RxP70XS7Ep1/0lz4benMHRsD8a3HaUkYBH9wnH/u5DGUIIij52ZIwo6AgsTzOwj0+z4wbJcvY/i9Fqe3QGvfzgTTVFQlEw3immkMIw4XlclqmJBUyysDydxqnYi6VH84x8/zQ6cU9r/DygoKtn8KQqpLVuBwaipMDxxLrkKYPJ6tJXR+Sey2j2EScXHsh145N0X+EJbKU0JF9z1pWxljWx/d+Y+JqComNl8LqfEj2ewfQSRkMqG9UsyzTkaKGr7dRjoaR1TN1gbCXN68ARWeT78dP6DCNEHOb1WYqGONYBGTy9hy6rOawIlLFHGJUtwuobSnEiQcLsx7Ta0QDPD6sPZA5kUDXFgmiamYWIYmb+BWh01HsNwdIxD2246CdoCqASx2Or4VUk985OF/ChuwRdqRFHS2LxtpO2DQYFIKASA22vF7s10D7fsznTrhppj7J28si/pCyNzJGAR/UJjKDOPpymc4MW1ew5QGrzj1ubutwWWdVumJfh+7r4te0uqk1lfPbIHNRoMgJ0k1LzT6ZnrgfPDAWbMmMfy7ISj6a0K8/eMyZ64Z60gn6v4FvakE3YeuOy/bMtQVAfTEtMwwgZIF7o4Cs354XSe+Nd6jJWtmRkl5W5S71k6fdHd8NwSki6VpCtE2m2npdRF1ddvxeXy8+p/fwyAo2gQV/zg11idDlQ101z68iN/IVA7D/e2D1Gsw7G6z2PGt0po3jOPlbv+wj/u6ei23VFsZ/l3L+HMlfOwKE24TyrHeXqmZUa56U3QdU6cVc6YucMAePGh96n5oJt8T6ITCVhEv6CpCrphMqrEw5UzKjLtHNnuFUXZq39VybSBPLrxWALK+4DGWVXfIm2a6KZBSk8Qijdis3pJG2l0I4VupNhc9xK6kaRQ30ZV1Wgg2+VsZFpAzPYNZGYB2Ou24woHmMoHUFzVfnKioXpc8RYq43uYrG5BVS0oikLQ4ccN2NQ0xx5TnsmIm23x6ciQC5gGCiamrmAPZH7FbRm0m7QLMEwUQwHdxMBEURUUTUXVVPQdHcOL3bgPz38EIfq4m+atZsX21txU5N+/sZ5vKHY8ZkdXbFFbCtog08+Tae24veRbbCpX+DKZ7LXx2joe+srlmR0UK4piwzQyrSCF5TNojUxDNW3Utu1g4sgrYdfLnepR0QgPv/lvbpnkYm6gmNtjKbrMDewLg0L6GQlYRL8wZ0Ip/11Xx5dOqORLJww7YPmFe8axMvg+FdbTuG/GVw5Y/ulVFu5Z9wz5Hp0rLrvjgOXblv+UvJd/STjfT+Qrr7L+6WtxxJpRtXwm0MJWz0heOa1jleiXHUNZ/8p7tPpKOfUHXTPjflyqOcpz9z/NHrUV2hQIZAOobJ9Xrhss+zesdOR5Sad7NkBXiIEmluo6rd9jdgxyH1n9HIYCqglxrxNHKJPMUTUUbCmVuP9YHIF1dJpfaKYwzUy3Uvkx5zF03DRWL8h0HdU89A+2G0E4Fx4+T+X6lzr2a8mut/mK38mFaivtuapTeuY9q+41Yr8/zITuC/GVBCyiX9CyM2vSes/e2ZqSacY1eph0LZmoBSCRDrD83fNR0FBUDUWxoCjtfy2o2b+2uhXkAWosiev/KjjuY8cLOTvnb0mnMx94ptqzt1wkGWW9JdsXlB3msl994dNEiCPsxW+eQiKtc/eLG/jzshogG+SbMRTVRWnDStTse6k9WIl53Tz93bewOJ08/N7rmHlnUjpMYc61xxGPRIm0hdi6agt7tgZoa7DQuDOcPW4C04iSVk2O21jAm5Na+GC4lRF7UgRdCpuGZM5TXu+ktLICgOr3txFOZT6TbPndvWnljbw/ErCIfiGXCK6H037UXMDSs0RqyUQ9kPmlEw5vOGD5omRmTI0r3nVtoKWjPse4z/ys07Z0KtPqYWhaj+pjWjuu83NnXIRm0TL5V7JdSIqa/auAqmYWXPzHgmeJxnq5VpEQA4zdovHTiyYyfrCPnz37Hom232a2+6/lw0EuvDGwGAaqCbqiEBg+hq233ZXd+2wURaGhBn71yz9hi6j4k5UoigPI/AgxTYOCQc2MPHsQoyY+ToG3eJ/ZbR+/6kuEki001m8n+VKS1dGOz6MXfr8F21+2gQLJWGZ7KtF3Ez/2hUYgCVhEv9DewtLTvCrt5c19tLDEokH+MO97tMRbUdMGS8wayIPWlILPNwXT1AEd09CzQY+OabbfDGA7ACGbC2+y8/oh3tYt5Pm6b2HxNe6mZmcdlUPL9lv/cDicuz/ulEkoPcjd4lnmlYBFiKzPH1/BUCPMu/dnHkdD/yLhd1Dvd+TKJC023j3mWBTTZNyWtZTq29CsmeRyJW3jMoUUMM0kdmeIshFujp09norxsz9+uhzDMFizdhNLF79DOBXGAsTjrbQkt5DUpsJeo1mS8c4BSrg1jtg3CVhEv2DJ9vf2uIUlu+qEsY9ct/+4fCaPXabx8fGpbabKcdP/ecDjB1bcAx/ei+KykvxuPetWPU/rhleYvf1ZJjavYuOmt6kaezLpZJI33nuPLY/9mvb8tv+85atc89M7eefJ/6V6T4izL7mIqgtu6HT8+F6BR0+CFYBUKhMUaT1sxRFioDtl5niaTvk6Hy17HYe1IrvVpPWsJh4d9NlOZZccN4tbHr8Xq2U4KCopzSTkTHH8aTM46/xzsbv3nT26LRrj6QWL2bFkKa5dm3CnMoN5LYCOyqvBNdww5Kpc+da0Qd04Dw6fF8VUqF7TSLglTn6ZZKjeHwlYRL+gZfuEfruoGouqZAegZgadmnvN3slsg7e3NEIBtBgfcs38a3Ip7SGTS2XZJRaKQ+UUhyuwGjZMDMbpZaScrdQueBY02BEIEvckUCwqmqqhKCqapqKqGubO3djio7E3RHG98Ch+RSUdMNkSKsBEYe3f7mXdyTfx+t9epMmSx2B7KRXxXbnr+dtvbsXmTeIsVlmy/O+EfcFO1xsOhSku2UkoWMTSp57K5mcBa3k5qtebvVZzr+s2CQQCAOTl5R3W/xZC9CcX33A+8avnsHjeR3y4oo5leS2sCY+BWBqcnb8CdSWOmsys+zXq/HOoNCogAZs+XM2k40/qVLamro4FS5ZQs3oF7q0bsaZTtLerphWNaMEwNqQL2Ogdw+ymNzvtm29R8ZYXMezsSgzDYPVbtajAouYAgTYfhgkGJl6LxiSPs08sqHjkayABi+gn3LZMq0E4keaelzceoDTYy+qwASmCvFv3btcCKjR6d5AfK+PU7Z8lT1M4zWuBCPAa7FSbWWDbvs/jq3En7m3Zbp3qhXs9s9e6JBseYBQwCnhxfDF6a4The1wMOr6R0imdcy4E9D90PoELqqogmXQwf5mX3MdFdfV+r9tqteL1evdbRoijjcNt5exrJvBYqIWVdS7YCvbdTSRO69w1u2FYkknVKnm2Eo77cFJue3JdlF/96nwMzNxbUc1Olc7Llglrbra5Khk2YyY3fPZsivI8nPb//kDQ6qOsNciiyMOcPur63DHf+nc1a59fRFPci2rNHOX91Wu4y5Ngbw+Nq+CyMkmsBBKwiH7iqpnDCCd04ik983mhkG01ySSAbb+vZJ+sTo5mQ2IFAMP9wztnxMUkUqfT5NpJ0hIlVlDN8IgHGApAatAeIsEY6OBQNPwlIUwTDKMjm26iLjvGRFUo82a6nRRMDNMkaZg0OEuIWH3k7d6eKVfcwDvDGnGerDC5oGPMi64rxNrysGv2j11xGmteE1ZrnCHRGGY8jhmLo6gK3tNPz5xPUXK39sdVVVXZQbhCiI/78hkjWfm31QA49Qh7hwaX1CapHhqhLJ7P5barO+1n0xxYFRspM5kbfWpgUl9UzOApJ3HSCSdx+Z+2Zj6AquGpB95m4bdPRcmOoStT/UycOAX/OQUs++MGmiyFBA0IUg5WUPUEpQ3vsXRYISOcdjQFmpJpWtM6a0JRzijw4dAUnKqaW0bk0yaDboXooYpCF/dcckyPyz+9YR0b3oWzK8/mV6f/qsvztz3wK150PYkJfOdn11Izfzu8kZnanHfBHFre+C/UQtzU+f43ft5l/zeefYZV1U+h+fK58rE/dVsHPZLiga9cDMBX83dRVtp1QKw26mEuHD6ny/bw9tUs33oZig7X/vznpOob2HLaaaBpjHvssR6/DkKIDhccO5g9bTE2Ll7MpILNzFi5G2vLRFzKBmxmgrPHNBMfEcC+ew1kl+GImzDfYhD5nysAk6Se4rkt/8R0NnLy1Ksp9g6nrq6x/dcSAGZc5xcvbiDq9AOQnDKZ+OgyPqyuxjk6jO/9zXhRQVVwOAxsGxZQ3LSbUy++nS+NymTRvmfrHlrTOr/f2cTvd3YsuDjEbuXlaWMosVs/vReuj5CARRyVCoe4IQoWW7Z1Yq++7OCWVtoigf3u3zH7aN+/dlRXxzEj3iKeZS6FNFFCPWZ2v5aaF0io/r1afzLHjrfsYieTGWlsaT9j9nR9oSdZiP7ri3leWiKjIDIKAJ/lT/gs/wDgtmYPnw2FwfajTvt82VQ56c0Hqc+teXEtKCn+PcTKv8Ia4IezfaCb2N5tQg2leGVdHdgyo/rVxW/h/9vK3PEK91G3/wbjLFu3bb/135VIsSYU5Wy7v9fX/kn0hU8eCVjEUcnhtkEUrI7MW0CP67R3pAw6cTCDG8rY1VK37wP0IH5QFIXP3/h/bHzjDe61eFirTO72OL/d2t3eY0C5nQrLdj4DkM1e29MZQ0KI7mn5jk6Pbe5WSICuFlGRnd2zR9NIWh0owKBYDKtiMERpIuAAE4VEzA+mFeIpRrRmEtQpponqcNBc5EBPGuTFTUzdxG8oWDUPtcWVuW6VzA8WM/fDJQY0lBTROvYYpng7Zgq1l9dNk7hhENYNxrudnJDnOXwvUB8mAYs4KnWMus9+JGQz6EY0BZvHRpE380uqwlHa7f49aWEBGHziBAafOIEH3ngmt20QuzLTrs00qmpDydZByX08KewxC0lipVnPJqvSM/kazGSyF1cphPg4e4WP4p+dRCwZJJKO4PjNcgC0ohJmNGcClkGn/whOuRmAnXeNZahZxz2XHsPY6Zn8K6Nv/yeplJOfDLNz4hcz5Sy//xWjT57Lw19/HbAx5+IC/vp8E0WGSsOXvsFVXzw2VwfT2CvdgqLwlSfe5Y1NjfyisIzPTi//FF6F3pMxLEIcYbk3YTiBQgin3rMZNqbRuy6a2doQ3tVhbGs9b15y3gHLr170FueYViLZJmUJVIQ4NF5oaOPaD7eDaWBJVrMzkU0p0LA+V0bXbHTJZtTNN7bd4iDsVPDETHB1brlJJkzyUkHQ8ki/+gfuft+LruuYTbvwJlo7lZ0IjFCdpFq+B/TNgKUvkIBFDEhrGtcA8GrNqyzZtaTjiWx8sTO5A4D8+Bq4089wAAckAhZa/vMv3tq8lU2Fg1HSKmu276DEZsnNyFFVlUBzIwDplkba6vbk0uTTnu+lY/loFEVBT8TA4qLR6aYmlsjlWTABI5s7xjDN7MrTCisbW6HIS36gjcTWrSRrMs3OqkxZFuITufbD7Zk7ikraPrrbMrusFipyj7r+KDGMzDaX1Yahtm/rnLXWbldy3czWdAzLjm77fnNcRozCyJ4DX8BRTAIWMSB91PJR7v7XFn6ty/MjgiO4tPlSDCXOv82tRCikpfEzqIad0ieWMeejeZynJ5j76yf57bYWjtm5hZOqP8jt76jdQvsY/T/ceO0B67NpxAQ4+/O0ODzMWHbgtYooyn5cKgpbz92rRUYG3QrRY6uCEc5duRmAcW4HPktHu0mhRSEW3UzZaW9iNxJ81fE+X3/jNorTaUxPR1ew0p4te6+3np6NUhxWC6aSHY+S7Sa2psOkLB6cbo32kMVWOhS9fBqqpjF85HAqx47BZrWiqQqaqrDk97+mbsNahuR1pO3va/rCJ48ELGJAum7Sddz61q0AVBVUdWSFzbbrDm/IrBeimg7WKOMBmFxQz66mCupLj6elYDynvHMrlXt28VHlCNYNHcW6oaM4s2YDkxtqMfOLINwGgNXhBNPMHDubgjdzvz0Lr8nQ5j3kB1uIevPQLBZUOvLHqHSNQ0wTjHCYc1YtRfNnZwMoCv5LLjl8L5oQA0xNNMGclRHK2nQMNYihwAhFAdL4te0kvCl2Wt/FQKE6+RHF2cHt5f/6OuTfi6loDDEzC6M+8soailfUgqKCmRnj9vaH32HOOSmCSROW3s3aLX+g4Jg8dM3O+l1Wio9NkIqUYLSYjByS7d4N7yGwsr0lJfN5FG9p/FRfl/5KAhYxIJ074lzOHXHuPp9funQp8+fP77RtmF5Me/J8TyiTk0UzOq9F9HrlOH55xaUMdtjorTt6vQdwzglw1/cPZk8hjnrHGVZ2b0l02R5z7iHsr8HeBiNzWztm3qjpODRuzLUqxEwbr4UrCYc7ZvBois5J7ibSZ+hk0kjuJsxu8vcap1+UzdW/6Z+TWPbsewesr9XhOGCZI0UG3QpxhJxwwgmMHTuWcDjMljfepnRzHs0VTmg18bdtYfLah3j15DPZWDmi034z/O5OzcpCiL7Lkf29oTo1/OeXYxomum4SfTPzg0RRbTimTyYc3U2xFuWt949jHFtwlw7H6XARTxssaPDydGQ6XyxvBpowDYNdbKaiqAbdUkwg7CC/KUG+PQ8Tk1jaStQbQcnLdEXpsaLs7CKt85pASvuf7HgYfx4jph3/Kb0y/dMnCljuvfdebrvtNm688UYeeOABAB5//HGefvppVq1aRSgUorW1tUeLsT388MP84he/oK6ujmOPPZbf/OY3HH+8/McTh09BQQEFBQVU/M8XcttOSSYJL1FxTV7K+Lw8ZoWipE0Y4rBSaLUcsbTYQoje272pBQAjpqPMW8724l0kbWFiHhsby0aR0qwMdRaQsuWxMpni91MmUhZs4enq77LTXkZadVLpdvPjEwZTdeYXc8d9++WRJOwwffgv8A/v3E0bDm9i5arPk06DwzGEKTP/jMtV+ale90B10AHLihUreOyxx5g0aVKn7dFolLlz5zJ37lxuu+22Hh3r73//OzfffDOPPvooM2bM4IEHHmDOnDls2rSJkpKSg62iEL2m2Gy5tXoAJnpluXch+qvw1o4V0pu1EpK2TQCsKR/N++WZGUKrADTAmbk1+AowagxGJ7LTnGMQevNt2CtgSWSX/npv23dh2/eyW9t/zGSadbzeCUyZ/BRWa/5hubZPW1/4qXZQaTPD4TBXXnklv/vd78jP7/wf46abbuL73/8+M2fO7PHx7rvvPq699lquvvpqxo8fz6OPPorL5eKPf/zjwVRPCCGEYHglVOxYSGXNK5w8JckoLbNOT1LNzPEbEWrlrGSIc9JhvqClcvutmfQTlky7n4XDvgOAg/3lQTKzN4P2YEVVbYwZfceACVb6ioNqYbn++us577zzmD17NnffffcnqkAymWTlypWdWmNUVWX27NksXbq0230SiQSJRMdAqmAw+InqIIQQYuCx7dzEqK3PATDuaz9ncnZ72RtrANjqzefGVIDLzzqNpliSp5dlWlWmnvV5ipw2dtVuhz/8EpXOg+9PW2USN9qwXPkflOIqstMBcywWN5o2sFpn++Wg23nz5rFq1SpWrFhxSCrQ1NSEruuUlnZOgV5aWsrGjRu73eeee+7hrrvuOiTnF0IIMTCl6+uITzSITzRY9ZdzaF+B+cLBk1nHZLYzghutfh5fsZFEOhOUjAjrvPD71QwyFMxUDHfqq6hKGO9LP0TRDEDBEm7OzCmyFoGt6Mhd4FGmVwFLbW0tN954IwsWLMBxBKdf3Xbbbdx88825x8FgkPJySWcshBCig+OYSbQek8Z0QZSOZJK7uICtSkeW2w/D8dz9mzYmOLG5PWutSpiLMveWPoLH8t/OJ7AfnYsQHim9ClhWrlxJQ0MDU6dOzW3TdZ3Fixfz0EMPkUgk0LTeTfksKipC0zTq6+s7ba+vr6esrKzbfex2O3a7vVfnEUIIcXRxzzkD863M/ZLG48HMZKVNlnT+/vBpKsOcdlrCCQbFM50fG0ptGHaNqtoImqkScVyF+7ixKGq2e6hkAviHfopXc2T1hUG3vQpYZs2axbp16zptu/rqq6mqquLWW2/tdbACYLPZmDZtGq+99hoXXXQRAIZh8Nprr3HDDTf0+nhCCCEEQDzZMUuo7MxrsFg8eDxV/LCxmker17A2NYRmpZigbrAzkWTlqRNpnv8OAGPOGk7lxBL0UJK6+1aSCnuJlV2P69jiI3U5R71eBSxer5eJEyd22uZ2uyksLMxtr6uro66uji1btgCwbt06vF4vFRUVFBRk0hnPmjWLiy++OBeQ3HzzzfzP//wP06dP5/jjj+eBBx4gEolw9dVXf+ILFEIIcXSKRqpz99eu67ym2FeBZgr4jXkLm5UqWlI6zZGOyRyW+Tto2diGYlXR3FbSsTRGNMXRql8Ouj2QRx99tNOA2FNPPRWAJ554gi9/+csAVFdX09TUlCtz+eWX09jYyB133EFdXR2TJ0/mlVde6TIQ90gzTbNzpkIhhBB9lts9Jnff65lAKPxhp+cLaeGevIVcFqgCQLV0zAcyG2NEG2Odyis2yXJ9JCmmafaFwOkTCQaD+P1+AoEAPp/vsJxjUUuQ0/K9ErAIIUQ/1dT0Oq2tyzCMJF7veAYP/hy18STHLV2PQ1VYdHwVJy1Zz4ygyVPFpZgpAzOlY6YMVLuG55ShqPajM2h5oznIGYWH/vu1N9/fspZQL5j0jYFHQggheq+o6EwKC8/grurdrK2PYW+sJmlkfrP7LBrBtI6uKmwtseE9acgRrq34OAlYekhB6RN9eEIIIQ7e261hHq1t7LK9IZlmeVsEAK/loJLAi8NM/qv0kEKXZIZCCCH6mYXN+86MfvuWzKwiWZG9q77w9SctLD2Umb0vhBCiP5tT5OexnZkWljMKvMQNg6RhkjBMEoaBYcL/DJHstX2RBCw9pChgyigWIYTo107M91B3xuQjXY1+py9880mXUC9IC4sQQghxZEjA0kMyhkUIIYQ4ciRg6SGlTzSICSGEEJ++vvB7XQKWXugL/8GEEEKIo5EELL0gbSxCCCGORn3h+08CFiGEEEL0eRKwCCGEEKLPk4Clh0wZwSKEEOIo1Re+ASVg6QVZqFkIIYQ4MiRgEUIIIcR+9YXf6xKwCCGEEKLPk4BFCCGEEH2eBCw91BcGHAkhhBBHKwlYeqEv9OEJIYQQRyMJWIQQQgjR50nAIoQQQog+TwIWIYQQQvR5ErD0giKjWIQQQogjQgIWIYQQQvR5ErAIIYQQos+TgEUIIYQQfZ4ELD1kSuY4IYQQ4oixHOkK9Ccy5FYIIcTRZHMkTk08SUw3jnRVJGARQgghjka6afJRJM6eRIq0aTLd76bAasE0Td5uDRM3DMqdNmYX+o50VQEJWIQQQoijzlstIeKGwQSPk3EeJ6ZpsqQtTMwwSRkGJ+R5yLP2rRChb9VGiE+ZaZokk0kSiQRerxdFkY4/IcTAZZomrzQFmOZzU2K35rYrisJJ+d4jWLMDk4Clh2TMbf8Vi8V48MEHicVijB8/nmg0SiwWIxqNEo1G0XUdgOnTp3P++ecf4doKIcTh0ZRM83ZriNMKvOT3sdaTnuh/NT6C5Md3/2S1WonFYgCsX79+n+Xee+89bDZbLpAJt4Yo1vycOfZENJuGkrupKDYNzWvDWuI6rHVPJBIkEgnsdjt2u/2wnksIMbAtaQtzYUlev21JloBFDHgWS8c/8+HDhzNlyhScTidutxuXKxNwPPDAAwAsWbKk07672cOYmnz8ZveBScEXqnBNKj4s9Y7FYtx3332kUikAvF4vM2bMwOl0MmzYMPLz81FVyUwghOiZmliCuGHi1CRgEaLPmjRpEmvXrmXYsGFMmjSpy/PnnXceO3fuxOVy5W4vvPACAP+yLeP6MZ/DTOqYKQMjqZPaGQag5emNtPx9U+YgipJphVPoaI5TFFDIbbePzKPg81X7/YUTiUTYsmULTU1NuWAFIBQKsXDhwk5lVVVF07TczWKxMHz4cC666KKDfamEEAPUN8pLeL0lyEiXnZEux5GuTq9JwNJDMoalfystLQWgoaGh2+ePO+44jjvuuE7b2gOWAouPwivHdXou9NYuAi9tzTzQ2/91mPv8d9K+Pba2CeMzKTSPbZ91/cUvftFl2+TJk3G5XF1agAzDwDCMToHNmjVrOOecc6QLSQjRiUVVOLvIz5stIVyayiD7vj+H+qJPFLDce++93Hbbbdx44425JvV4PM4tt9zCvHnzSCQSzJkzh0ceeST3hdGdL3/5yzz11FOdts2ZM4dXXnnlk1TvkDIxJS1wHxFduZLIO0tQ3S5UtwfV40F1u9A8HlS3O/s481ex2VAUJffvr66urkfn2PFqx1gXl9b1i997yhBcU0tANzJZkE0zE5Xsdd9k7+0mDQ+/j5nUMeI6mmff566oqGDHjh1Apgtr6NChnHnmmSiKwuzZs0mn07S1teF2u9F1PXcLhUK595HVat33CYQQR7XTCrwsbA4SSOtUuZ1Hujo9dtABy4oVK3jssce6NK9/+9vf5qWXXuKZZ57B7/dzww03cMkll/DOO+/s93hz587liSeeyD3ua78OTZN+O1BpoNl107dJNzb2rLDViubxgMvF7GiU9RPGc//tt0NBAVarFavVmhvQ6nQ6cTgcuFwunJ7Mvz9F10mn4pim2eW/v+buXVCguizoSR0zlt5vufPPP59HHnkEm83GVVdd1Wmciqqq2Gw2SkpKctvq6+tZuXJlbmCx1WqVsS1CiP2aXejj5cY2xrgcqP3ku+2gApZwOMyVV17J7373O+6+++7c9kAgwB/+8AeefvppzjzzTACeeOIJxo0bx7Jly5g5c+Y+j2m32ykrKzuY6oijiGmapJuaAHCfeCKK04kRDmNEIrm/eiSCGY1mdkil0FtbobUVvbiY3UOHZrYHAj07n6aRv3YJG8f/EcXmRLG5UBwuVIcbxelGdblRBlVSdOM1qG4XhmFipk0Mw8A0wNQNDB3QDdraEmzX0+x5dwfHGoOwWzQM00Q3TAwTDNPEMExSOqiaRjKZ5C//WYDV5sDILgxhKgqKonLG9AkMLsrDMAxeeeUVtm3blquz19u3cykIIfqG4/we1oSiTPW5j3RVeuSgApbrr7+e8847j9mzZ3cKWFauXEkqlWL27Nm5bVVVVVRUVLB06dL9BiyLFi2ipKSE/Px8zjzzTO6++24KCwu7Lds+1bNdMBg8mMsQ/ZAZjeZWohz6mwdR3d2/0UxdzwQx2UBGD4fZ9fzzuefHjh1LIpEgmUySTCZJpVKkUil0XSedTmcCjux5WvPzwdQxE2HMRBhCoGePs3XYuWzPOw7uXdvjazAW1HHdshqatX2PjDrP5qBYjbB1zdJun9+8bAFut5toNJqrJ8Dpp5/O6NGje1wXIcTRq8hmYVUwcqSr0WO9DljmzZvHqlWrWLFiRZfn6urqsNls5OXlddpeWlq637EDc+fO5ZJLLmH48OFUV1fzgx/8gHPOOYelS5eiaVqX8vfccw933XVXb6suBgA9kn1zqSqKa985UBRNQ/P50Hwda2DE58+HeJxxJlz++c8f8Fwv3HsvK+Nx/GVlDHv+ZfTmAHprgHRrEKMtgB4M0bih+8Eoyt43pWNbzDSxoFCRVrHmW9HUzMwiTVVQFQVVAVVRaDDGoCV2omKiYGaPZaIkw3iUJJCZTdTOarUyffp0Tj/99ANelxBCtKtPpqhLpCiz9/1xb70KWGpra7nxxhtZsGABDsehmxJ1xRVX5O4fc8wxTJo0iZEjR7Jo0SJmzZrVpfxtt93GzTffnHscDAYpLy8/ZPURfZcRzkwnVj2eHo8pMk0TIxSiLRAAux2/v2cLeQUjEdA0/Pl5OMcO61qXZJL49a8BcOnXhlM8sRJFY7/jR359/wrYFGJmvpdbf3BSj+qxt3e3tfD1x19jmF/jkS+fmMsl011gL4QQB/LFQYXMbwoy0etkqKNvzxrqVcCycuVKGhoamDp1am6brussXryYhx56iPnz55NMJmlra+vUylJfX9+r8SkjRoygqKiILVu2dBuwSNbPo1dqzx4AjGCQVH09enMz6exNb27J/m0m3dLS8VxLC6RSBM48A0pKyC8q6tG5QqkUaBp5+fndP7+lFl2zg2lQNL4czXrgga6Dhvlo3BRCb032/KKzUrpBWzRJi+kiz+KWMV9CiE9MURTmFvt5oaGNMpsVi9p3B+D2KmCZNWsW69at67Tt6quvpqqqiltvvZXy8nKsViuvvfYal156KQCbNm1ix44dnHDCCT0+z86dO2lubmbQoEG9qZ44CkSXv5u7v+W003u1bzjbPTToY/lW9qW9wyVvH4FBy8adADj0MBZ7z95K48YV0jh/F+6YQTKZxlAUGkMJGkIJGkMJGsMJmkIJmiMJmsNJmsNJmrL3A7GOXCv9ZFC/EKKfyLdqpLNd1n1VrwIWr9fLxIkTO21zu90UFhbmtl9zzTXcfPPNFBQU4PP5+OY3v8kJJ5zQacBtVVUV99xzDxdffDHhcJi77rqLSy+9lLKyMqqrq/ne977HqFGjmDNnziG4RDGQ2Cr26vrTNCwFBWiFhVgKC9EKC7AUFGIpKkQrKMRSWIBWWISlsICEw0Hs178GoHjYsAOexzAMopZMn27ekCHdlqnb3AL4cVs7WkvS4RCxxgbizc3EWgPEWsPEQ1FioSTxiE40qgDDsaBQd9cMFiuV/Ch9TY+vX1WgwG3niuMqeryPEELsj2matKZ0HFrfTodwyDPd3n///aiqyqWXXtopcdzeNm3aRCA7rVTTNNauXctTTz1FW1sbgwcP5uyzz+anP/2pdPuILvIuuwzfOedgJJNofj9KD/ON1G7NZKXNy8vD6TxwoqRwYyO6JTMupGD48G7LrNmWGXDbbBbxpxueIaa7SZt7j+3SAH/29nEGPiXKZ7XF/IRrKfHaKfbaKfbYKfLaKXLbKPTYKfTYKHTbKfJkHuc5rah9uMlWCNH/vN4S4vSCvp8O4RMHLIsWLer02OFw8PDDD/Pwww/vc5+9p2E6nU7mz5//SashjiKq273P6cz7UltbC9Ap4dr+tG7fDoAjHsfm636QrkHHQNdQumMKvkoahxbBaY3hsKdwOgycLgWHx4LTa0dzO8nf/DB58d0YecPZdONcSUoohDgi0kZmSRGvpe8P3Je1hMRRoT1vj9/fXWtHV4HdmcG9LsPo8pxpmhi6yVWOr9LgGEuq5CTyT5yNs7AAR3ExNl8PWn7mL4WlS1ALKmVAihDiiEkYBt4+3hXUTgIWcVRoXzRwxYoVbNu2LZeWf+/0/A6HA5vNhtPpZOPKFWCxEk8FeP31J3C7/Hjcebjtfp799R5supMvFamMsiwhfcYNWKbsOylit/TsANqti2DjSzB6DmjydhRCfLqihoGtnyzlIZ+Q4qjTlE3tv1/ZAbcfDonz59r7Oj93PFhMk29sz6xnpI2YzNJ3H2RDw1pGlx7LuOFnUVRUtf/jH3sFvPtY5v68L8Bpt8IZP+jtpQghxEGL6gYLm4OclLef1Vj7EAlYxFHH7/Xi8flIpVKk02nS6XSnlPyGYRA1o6TVNLWeWirbrMRVnZjFIJhNrjsymaJVU9FRcEQbueHDx0mqCjQvR/3wMX456gucdfI+ApAdy2DJb8DqhlR28rR131l7hRDiUGtMpljcEuLS0nxpYRGir9i54QNGjHwXpyPMxo0nY0RCXHvLLfvd57ynzmMHO/h6xde5/ozrOz23fP1K3l7wBWaVD8FQFKzzv0hKVcg3TFpVBUNRuLn6b5y29T98YdwXObFoErz5c3D4wTcYql+H5i2dTzhqNkII8WkpslpwaSqLWkLM8LvxW/t+OND3ayjEQQqtrOOFf6wjoYQpPGMHbmuMSce+yupV5x9w3za9DTQoz+u65MOM8dNY+f5IjGRm5lEqO2j2mvKz2dG0gX8kMgnl8paEiD36MNtsCZzeFI78FP5hMRQVQIFTvwuRBigcDWUTu5xHCCEOF0VROKc4D9M0eakxwPkleUe6SgckAYsYkEzD4Ip//ouw6qDGLIM3/o/Jx22mOJDGb0vvd1/DMIgoma6aEUUjui3zbn4J1NcyzFvJr6d9j2CkjmPGXoKqqHx597u8seZ3jHxvCQVhiGMnXpfJKaSMOwd/lR3KZ8D0qw/tRQshRC8pioK9n+R2koBFDDimaWK89zQv2TNjSP6pn8p3Ul9nRctU9FE+GA7PzV+OqShErTYcepqvOCFmGDQkUuyKNKCrOpgKI0tGdnuOhmgDAIM8gxlReWqn58qHzmTKlt1YwpmZSc5zpxH770oArGddD9OnH65LF0KIXkkYBnYZwyLEp6965bu89OAvSMVjwCkAWJQ01/n+wt8mfRElYtLo8hKxdWRRjmsWHmnPrq/ZsDggHzA1P05791lx2xJtAJT7OncZJRJRFjz8fUY+viBTn+OHcMqsz+cCFueUKYfsWoUQ4pOyqyoRXT/S1egRCVjEgLJlxdJssNJBUVxU6cP48sY9nDjnLFIWkx3JGAE1zS+iMVyGTqmh41JMCjSVTXojMcBmK9jneaKpKACj80YDmW6kpc88SOqhPzKyMZNjJaXB+K99h9gbmWDFNWMGitb3s0kKIY4uw5x2qqNxRrocBy58BEnAIgaUYGM9AJXFGjWNmV8N4/wnMC5vBscngRd2ANA+MuXC7N8Wm0LcqpK0qITTHtrUa3my+HnOeuYsrJoVq5q9aVasihXdzBx7QtEEare+z4ZvXUf5liAAYZdC9KrzOfFrP8bqctO4cjMA0eXLafvXv8jLrmQuhBB9wTiPkwVNAQlYhPg0BRozY0tm3vAzPjOoFKu3gPd/9CxkM+x/VGjFkTSoCHVuAi1ImpA0yRQsB8qpse/mL/aXujmLCdkl2MvUAtZ89TzKd2dS/9eePoYTf/Y44ZjB6qXvMX7mcTinTc3tueeHP8J3/vmosrCnEKKP+CAU7fPBCkjAIgYQw9AJNWWyz/qLS7H5iwCwp22ggjnLzZlndQQPu+pDNLfGSCbS5HkcxONp4vEURf/cgsVUSdtgdsVsYukYST1J0kiS0lPsCm4ikNYZ0mTSdOJshu5Vh8Ebqml55z9EvnsfXmBF5XCOv+vHneqp2GyH+6UQQogeCad16pJpZhf2/eSVErCIASPc0oKh66iaBZc/j3eeeRW3342fzBvRPbSoU/khpV6GlHZdUv2tV99heGAQZ4ybxYlnnNXl+b+u+C7zXn+Znz/RuZXGVEy0ep3IdztS+ZfVbGPHl7+ce2wfM0ZWZhZC9BnLAhHOLOj6OdgX9Y+5TEL0QMO2agBUi8b7C99l2T8fZPET92FVM90vnoqSHh3HFc+Ud+f7un3epjfxzakdA3tNBdw//gKD5j2E4VUwLPDOpGkAJKxWlKIibCNH4pwyhcJrv3rQ1yeEEIeaCqj95EeUtLCIAWPlS/8GIJ1IsOipXwDg0jqCDpv7wH20hmGQl8wsBJZfVNRtmURiN5oGHzx8LGcXX4934kmo2TwGrgULue+Dl/h16jgwTVAUxrsdPDdlVL9IfS2EOHpsiybQ+kmwAhKwiAFET6Vy900jc99p8bC+bQlW1U7jk03YvB4cXjcOvzdzy/fhyPei2TKrM2/dvRmHacPAoGTQ4G7Po6RbQAFn4Qj8k07p9Jw9bzDPpjO5Wa7Ib+W1aAnrI3H+Z902/nbsSJyaNGoKIY6sTZE426IJKp02Tusn3UEAimma5pGuxCcVDAbx+/0EAgF8vu6b8T+pN5qDnFF4eI4tDp2/3/l9dm74oNf7FdpjXF65A4viwMBDAjtbBoXR7V5Mhxc1aCcdzqetchRtzb+j1G5ir7yMqcf8P2x5pZialW++v4yFbTpBMh8AS6YWEdMKuXj1ZoJpg7MLffxx4nAs/SQNthBi4HkvEMFjUalyd58U89PWm+9vaWERA4rNlRlgW1QxjEhrG15HIe6Ym5SRQHcaJJMxUqk4yXSclB5HNzPrCjUnnETSYYrsmWnRdmBqJqULpglb/lNKOqbh5y0qc2+b59nG8wBE7Q4ud7kYcux0fnP51Zxu28wI/2QA/nTMCD67pppXm4N8Z1MtD4yr+LReDiGEyInqBq2pNNP9/iNdlYMiAYsYUNqnNZ/yhf9hxJTjDli+ZfP7PPGjHwImnkv+QjIeo75pE81aLal0K2a8DVdTHVosuN/juBJxXIk4F765gMt/9m1GFXw299zMPA9OTSGVNplX18JPRg/BZ5GMt0KIT9eytjBnFPTfngIJWMSA0lizDQBfUc9mBLVtXgVAoSuN47hZAJRzPnuvEBRf/G+2cVuXfbePL+CMv7yIGW7hw7eW4P7hzwi6vTSYBTS0hvnrnmZq40neDUQ67SehihDiSDCgX3dJS8DSQ/1+oM9RINhUx4hzd+AsSLBy6Y3MKf/3Afdp2roBMCnK33d/bmrrxtz9TadU4ho/gemf/xbjyiozG1354NkOQKvPzzVrt+7zWEtnjMMtrStCiE9ZXDeOdBU+MQlYeqj/xqRHj7bW9fjKM60Zhu3D/Zat3bKIzesfwahayaSxCu7N0/ZZNlWTCUC8Ewq46HevdFumIhamGYjn5QPgVBUuLs1nus/N/OYA85uCDLZbKbTJW04I8emK6wYvNbZxYUn+ka7KJyKfnmLAcOUrUJu5r2gGr/z7OBSsKNhQFBsKFgwimGoLFncUPJlAVMGkYOS+V2ZO7d4NgLW0cJ9ltOZmAGaOqmTDyROxKgqebEvKFwYXYphm5lz9KOeBEKL/C6Z1Xm8OclFpfr/KudIdCVjEgBGP787dV1Sw+lq6lNm7MybVVoI1LzMraNCIU/d53FR9EwDWIUP3WSbdlCljKSomv5sEcf0lk6QQYuAwTJOFzUEuLskbED+WJGARA0Y8vgsAn2cmLmUW6USYVDJMKhVF12MYRgKL5sbtGc7gESeS7y/gzXdPA8A96JR9HjfZHAbAWjlyn2VyAUvhvlthhBDi07SwOcjZhb4BEayABCxiAIknMi0sJWVnUFnxFRas+ifJ2B04rAmi+VdzwfE/6lS+9d17AFASKpvefhWb04Pd5cXu9mP35GFz52H3FpJsSQMK1hHj93nudHY6taW4+3T+QgjxadJNExNyXdMDgQQsYsCor38BgC1b7uHv77zEtNK1ODRopoCa8DrCax/F68jHafXhtvkJ17yDUgit0RIWr9uxz+NqF1/GsG3biX/tNpp995G2OzBsDqKajVZDo7Q0j4oP1mMHLPtYf0gIIT5N74eiTPe5j3Q1DikJWMSANK10LQBPcQ2vKucCcEvTPUzlPQAigJLtvYlG/VTagyR0hYShkjA0EljQs28P3WJhZ/lQpq9cyZDmnV1Ptq3j7s60yqCmBhRFRVEUFDXzl+x9NftYUVQUTcNitR6210AIcfRKGCYObWB0BbWTgEUMGCZgorAjMITFu06krOgdXi09F60mjHVjgMeUL3CqZwQXlL5KukLDRQTNMIkVnct1V93Q5Xh6IsbTL75G9br3CClOYvc9SiIUJh6KkApFqGtoRUvEcOsp1lXXsctTzKBH78ejR7pWbh9mXnoFJ33ui4fwVRBCCBjhtLM1muAYr+tIV+WQkYClhyRxXN/W1LyL7/Ige5Qh2Nwml+5qo7xmLpwL1o0BANKmhddDJ/N66GT+npfinzu24w62UXXuid0eU7M7aYpl7ptFg5h67mndltteW8dND69EMQ2+uWcDmmrDNA1M08Q0TExz3wmbDmahRiGEOJCYYWBTB9bq8BKwiAFhR0hjjzIETTe59dlWAIbbTJa9GuK3Ngd/T8ZzZQuUMNMvvgx+eiZD2UPbG2+zbfMkrIPG4xk+Hfeg0ZkVD4FQSx0KBi7PvhcLq66tA8Bjxrn5T//stkwmeDEygYxhsvK/z/P2357Cky+zioQQh45umrzVGsIw4YwC75GuziElAUsPDayewIGnye3g4voFFG8bApQBsD1pkMbktAI7VRcM5+FlNRQXOvnOaTOo2b6RGawBYEisHjavgM3A4s7HvQMI4+JZ76/2ee6tuzJJ4/K19D7LKIqComm0Z4KJBTOtPu78fSesE0KI3ojoOvObgswp8uHWBs7soHYSsIgBYeV7z/LbjXdjmgrzLA9gAhOcrzLYtoFithJ+3cU5Fg/RJg+J/7iJ0dFUuq3yCrTWaiqCK7o9tocoE4r2HbJuawgCNkqdPe84DLdmktp5JGARQhwi7wWinFPkx6kNrK6gdhKw9IBpygiWvm4umW4ZRTE5sfJ+XKkQnnQYp5EAwKNH8ehRSDR02i9qcTH86sdyj1s+WoaRjOMpn5DpFrp/PA4lRcmIY/Z57tXrq8E7jmjbJp558w+cPe1i/J79ByKRtkzAsvqVF5l+/sUHdc1CCLG3iR4nH4RjHOcfWNOZ20nA0gO6CZYBkilwoJpiZsatcPK3qZx9Z257IhUnHG4jGmklFm8jEQ2QirVRueIhCpvWYbN37uMtGDMzd7+pbgdFSgrDVCgp33eW2x1+DxhQPXwzP9n+LL/e+FvuPeF/OXnSnH3uM7RqAjvXf0CwqYHGmm0UVw4/uAsXQoisQpuFlcGez1Lsbz5Ru9G9996LoijcdNNNuW3xeJzrr7+ewsJCPB4Pl156KfX19fs9jmma3HHHHQwaNAin08ns2bPZvHnzJ6naIZU0TSyqBCx9mbn27wDEWusJ7f6IRKgZ0zCwWx0U5pdRPnQcY0adwDGT5jJ1xhUU2u0AWDwl+zxm886PAKhXCrHbnfssF1PyAFCtLVh0hYAjwfUrv8P9z/14n61zJ11+FWNmngymyRtP/U5a8YQQh0R/X+Bwfw66hWXFihU89thjTJo0qdP2b3/727z00ks888wz+P1+brjhBi655BLeeeedfR7r5z//OQ8++CBPPfUUw4cP5/bbb2fOnDmsX78eh8NxsFU8ZNKmiW0A/yMYCJR4ZhCr88On4cOnATBQSGAnodhJKnYShgVNsaFbXAxNrc/sWL+OursuxFNaieLOR/UUoHgLUXzF1KxazFhgp1nCoH2ctyEcwNAzrTQLv/A3tHSUG/75FTbad/PH4LOs/t1qfn3FH8j3FXfZ99Qrr6Z65XJqP1zLlveWMfq4Ew71yyKEOIqE0jrWAfxdpZgH8dMuHA4zdepUHnnkEe6++24mT57MAw88QCAQoLi4mKeffprLLrsMgI0bNzJu3DiWLl3KzJkzuxzLNE0GDx7MLbfcwne+8x0AAoEApaWlPPnkk1xxxRUHrE8wGMTv9xMIBPD5fL29nANqSqbZlUhy7ABKwDOQmKaJclde7rGOgnYIM+c8kz6VH6S+jg0Fm5K9qQpWVaVBTxE2TKwkefcHZ5Lv86MbOnf/6zv8M7oQgPKgjz+e+yRlI0d3Ofbb8/7E8uf+QV7pIP7nV49I5lshxEFb0hrmGK8Tbz9aP6g3398H1SV0/fXXc9555zF79uxO21euXEkqleq0vaqqioqKCpYuXdrtsbZt20ZdXV2nffx+PzNmzNjnPolEgmAw2Ol2OEkLS98WjsUZevJrlJ32JmWnvcmX/ffxx+0X84P4VZw67ncsn/EwT5iX8nfzPD4achU7K75Ak386Sc1LW52D4A4HkWAh8XgByZiHVNyGntLQTYWEaWWhMY2UAhHFpBWDelOnVk+zNZUkbGQCo8EpB4veWQmApmr8+LP38+WKzwMQ0KL87fbv8t6Lz2EanZPIHX/RZ3HnF9BWv4cPFy38dF84IcSAEjeMfhWs9Favu4TmzZvHqlWrWLGi6xTQuro6bDYbeXl5nbaXlpZSV1fX7fHat5eWlvZ4n3vuuYe77rqrt1U/aEnDkEG3fdj7sSRpLfNPeWKbzk/rR/DksB3YgGM+2M7lqQnApdhJMe/EiYyZMAqAUEsztSefgsUwGf7fl3CMGNH5wKZJYNNWRv16OxWKyZRZxVgGFRCNp3O32roWajdGGJFWmDSp88Dc0RUTYQcUWwsx9DRv/vkPbHznTaaeeyFjZp6MxWrF5nAyadYclv7zb+za+CHHnnXOp/CKCSEGooE+Eq5XAUttbS033ngjCxYsOKJjS2677TZuvvnm3ONgMEh5eflhO1/aBKsMuu2z5reEcvfHNye5hghtifHkq1HylWjuuQRW2kKx3OPA5s1YjMwS7LahQ7scN7B1D3//1WZcmg2XqeD/qJqTLj22U5mHH3+GkmQhgZJdjBxyFnrKQLUoKIrCrvAuACaNP5FZlTN580+/p37rFl5+6Fe8+ec/MGr6THZv3kjr7syCiqGWpkP5sgghxIDSq4Bl5cqVNDQ0MHXq1Nw2XddZvHgxDz30EPPnzyeZTNLW1taplaW+vp6ysrJuj9m+vb6+nkGDBnXaZ/Lkyd3uY7fbsWdneXwakqaBVx24zWz93U9GDeELgwpZGYzyn7XzqcYPpptmvXMugpneMKfPmJh7HN60AYCUy4Fqs+W2b15Rx6t/yA7K1TLbtXScYaeM6XQ8XdeJfmjBBYyaUcxr3/49G2OZVpqzr5nA7uRuAIZ4hjD5pHMZM+NE1r42n/cX/JdwSzNrX3sld6xBY6o49cqrD80LIoQ4Kg30n9W9ClhmzZrFunXrOm27+uqrqaqq4tZbb6W8vByr1cprr73GpZdeCsCmTZvYsWMHJ5zQ/QyI4cOHU1ZWxmuvvZYLUILBIMuXL+cb3/jGQVzSoZc2TKyWgf5Pof9SFIVxHifjPE5+0pgPdIwTyUchYU9y18mDuWz2uSh7de3FNm/GAaQLO6/nY1H0To/zUnVcfPfZuAYVddr+xrvLcSX8JLUYc8aP4y8vdAQ9r/7hQ+ouyXRplrkzQbnLn8fMSy7nuM9cyrY1K9m0ZDHVK9+lfPxELr71x4fipRBCHIVM02RZIMJA7wjoVcDi9XqZOHFip21ut5vCwsLc9muuuYabb76ZgoICfD4f3/zmNznhhBM6zRCqqqrinnvu4eKLL87lcbn77rsZPXp0blrz4MGDueiiiz75FR4CKekS6jf+9KXpXPHHdwGYZrNxQZOGTXEy5dUYmxf8F10xSORvJTRiAWp+NfEvpFGjNXz49y9jteVhdRRidRbhyLehJz0UqTYu+N/Lsdq6trCtWboVJ4MxhgdY9bslwODcc4NG+VkYy3TxFDs7T2nWLBZGTZ/BqOkzMoNwZXyUEOITeKExwIl5HopsAzsX7CG/uvvvvx9VVbn00ktJJBLMmTOHRx55pFOZTZs2EQgEco+/973vEYlEuO6662hra+Pkk0/mlVde6RM5WABShjGg57YPJDPHFHNNye3kbfg+quYkAkQwWR83mOrOTJkLViwhWbQB9mowCfNWxwMDhp2Vudvy0Wwe/5afhGKSsijoVgVsKqpTxdaQD8AxJ1SS+MdHud0Lyhycfc1E7p+fCViKXJ1bZvamDLDl34UQnz63pg74YAUOMg9LX3O487C80xpiut+NXb5c+ryFv3+E7YtW4LR4CaTCmN4vAuB0NtEyejAnJNeTHv070s4WbIEKbCuasVQUYXo1dDNCWo0RL+uYJp+K+ah+Yd8rNUesAQq+5KC6uYaChbDLt4HklEq+MvV8rl6Y6RZdfPli8h35h/fChRBHrYXNQWYXHvrvvk9Db76/B35IdgikTFNaWPqJYdtHUTU0s1Bh2kjxaijTpbcsbx3DHQu4dNz1/Nn4OSowfsqdFF58WpdjvLxwAjY1DoBqD/OZHx9HY1OMltYYba0JQoEEi2qfwJHysK1wLXvWV2d2bF8fsQXeWvgEAKapMOXOtwGViZYYvxyvMvozZ6N5PIf5lRBCDES6aVIdTeDWVAbbrSiKgkWBmG4M2FWa2w3sqztETBNUCVj6vODLL+NId6z5Y1GtKECt731WDp3Pq+Ep5K3ahqpkGhV9Q47t9jgnnfAO9bFMrpaW5CDKB3mZekwJs0+t5LILx5B/jJtVQxewZPhz7PFVo6ZL8OqTqLScwyT35XjSHQsZOpJ+SmkD4IO0k3l/e431M05m+z2/7rJ+UEskyaa6EIbR7xs9hRCHyYKmIA5VIZjWebU5yMLmICnDpCGZOtJVO+ykhUUMGKmmZt6Kr2aYdwqKoVK47C+cvOs9Hri+ilTTLJpbKxnh3wZAS9yP1ZrXaf9oIs5fX7maEd53Kc3GPTY1xsf9Yv42wqEfkVe8jmXX/xj73un0kxH42WA+smhsstsZl9zDMPu3GJ34EyYq1vKLWTzkUqiBwL2vsLuylJRusLUxwuaGMADfnTOW688YdVheIyFE/6YqUOHMpPUY53GimybBtE6+deB/nQ/8KzwE5Pdu/+A48ww2Vf+OZ8vqeXvIBNSR1+JdfzHxXR05e0pcmYGwcWNwl/3f37qcEd53O22LmlWdHtcFYuxqiwMefnjK1zoHK8CCHSu4eXgFdzc2c2E4u8y7AuPNRmaGKsgzOho1/TV2Hg/s6VKPxlCiV9cthDh6HOt18UZzkDOyY1Y0RTkqghWQgKVHpDOof1i2cSMADbss2Lc3ABC3dE4weFblGwC4bV2bT0cPHsv7e8UPSv49XD7xgk5lvvrEckqUTGbdAsIsWVfNuGGDyM8ujPl/K+8D4PaiAs4PJdCUNIsSpzM7MBTbx3pgN1jT3H7+eOprg7h2hBjZmmIYKqsD6YN9CYQQA1yp3UrcMFgdjDLFd3QtyCsBixgQdF3nrbcyU5NrUp1n5IwpbMM0bNhUlWG+TBp8v2ULiz96nEDUys6tT6EbNhy2AobvNRZ2bMUMrFZnp2MVNr/PdHsrAItfyARI/8HGV6/7GqMGF3JMwTTqd2/DnSzg0foHc/u1p5Q7/aZjKSx1UbupifL36sj/7w7m5FpdMm/HUZq8LYUQ+1bptLMpEjhwwQFGPhnFgNDamgkikmbXceQfNed1u09q5//hAsbknq7OPfdiUz4//M/N2FU3Ds2Fx+pD053Y/dtJR8qJ6m6sKjhJ4CDJXx7/DVHsWJ1FnO34f+TZ84i4a7DHi7BklwjIm+hj9yvVpOrjDDIVMgtRqOiYaHu1400/Y9gnfDWEEAPVtmiCVcEIx+cdfTMNJQ9LD+zdXyj6rmQyyeK37iQceZWQ/VLKB0+lMRShORSnOZKkJaqzNbiCU8s+xOOox2+1YiGFU9GpTaqsjmk4FWjTFVZE9x3LDw+O5z/f/DsAL729mndeexmbmey2bNSw4edkimNpztU6xrvEMan1W/FMLGTiqRWkVjcSfGU7AP5zh+M9tetijEKIo9fOeJJ1oSgjXQ7GuPtGUtVDQfKwiKOOaZpomkF+/nYUpZUZ48cxqGxOpzLRZCsz/3Y/W0IKC2a/SplvWO65UCLGSW2N7Aw2EIgnmB5toyUaoDUeIJiMEEy0sT72PACjy0bn9jvv5Cmcd/IUmloDrPxoB5trdlFX30gyEsQVb8SlJpl4uhPHKgMakmy3guXUwUw5uZJRzo63n2V8YS5gSe2JoAcSoClono71iYQQR69VwSifKck70tU4oiRgEf3a+vXfo77hJQwj3mm7y1nZpezW5jWYKDgUKPV2ft5rdzKhtIIJpRXdnqemsYbzX3oeFLj2pC92eb4o38+cGccwZ8YxuW0/fOhprE0f8dbixZzkPB6A8pTJ5t1h7M7Obz3VaQGLAmmT6OoGoqszg4YLrhyH65huUvubpqxBJMRRZIjdSksqTcFRMiOoO5I4TvRbpmmwp+65LsGKpnlwu7vmMdnRtgGAIpu106rNPfGvNf8CBYqNYqoGVx14B+Cz55xGylTxGCGWRJey1hJFQ6FgU9fBcprXRtlN0/CdXYl1aEffdHjJrk7lTNMg8OJV6P9bjDH/+2AYHz+UEGIAGmS3Up8Y+Mnh9ufoDdVEvxeL1QKZL+yiolnYbSWomgOfdxKJRCOGbmC1+XLBSW1wKwAljt4PVntjd2Y69MyimQco2WHyyCGEL72CF5/9J24zygfaKsr1yTQNL+u2vKXIie/MClwnF9Kw8nUa1y4m6aqnbe04VJdGKLyelpa3OG5jK1pah6W/hcKxMP3qXl+PEKJ/qY0nmeBxHrjgACYBi+i3EsmG3P2mptcAUHQrnoap+HedgqtlPKaWxLDFMHxR1g7LrKjss/ZuAHVDoIEd5g5Q4LJJl/Vq35MnjaHQczXzn/wLbWqEF20rOcFxPK27mmjaUc/IGeNQs4tqpuJJlr36c5K2Z8AWhuxQmWDTO52OaUvuNU7+vT/A1C+BqvWqXkKI/mN7LEFDMs0My9H9PpeARfRbbtdISkrOJbxzKyXRi6DRhnVHOareMRtH0R2oMQfE8rmt/rvcrCRZ5d7AGXtOIeSIYVEt2FQbNs2GBQt+zc/Vo6+m0F1IkaeIYl8x896bh6EY5Bl5TKmY0ut6jhsxiILzP8e/XnyWBjXAouolLKpeAkD5ohImjB1PKpVixUfLmHTikygKWBJ5eIxj8OSNxSyMEY1W09q2DI9rDLbUko6D162DF26E2XeBu/CTvqRCiD4kktZ5szXEEIeNC47yAbcg05p7RKY19207v/9Wl23eWRU4jvGR0ttomL8E6+bBKGbn+Pzisd8mrvY8Df45/nP4+UU/P+h6ppIplvzrdZZsXEFC6ZrN1m4Pc/yM5zAMjTNPXYdms3cpk47sxvKLcQAYZ/8U9dXbM0/4hsDn/gxDpx10/YQQfcd7gQhhXefUfO+AXnxXpjWLo5p9VB6xdU04xubjqRiO5yvDCQXbWPXyG4xc3THj5ktcQny8lWAyyEdNH7G+bT2KqeAxPCSUBEklmVuXQTM0rpp21Seql9Vm5bTPz+H4phNJJpLsrq7low82sqWhhiRpxg3K5F7RdVu3wQpAqq0aC6BrCtqJ34KS8fDyrdC8BZ44By58GCZ99hPVUwhxZOmmyZ5ESlpVPkYCFtHvld4yjfpfrcw9TmxpAyC+vhm9QGXJ316iclsBI42OYGVj5S6u/uwNeDyZiP7PS//M+rb1FBvFvPaVzHiYtJ6mLdJGU7gJv9PPoPxBh6S+ziIvTsA/pJBxp07GSBuYpsHm6vns2g2Gse/cK3qwBoCU1YoGMGo2XPsGPHsdfPQyPPtV+PA5mHM3FIw4JPUVQny6NEVBVSCqG7g0mczbTl4J0e9Zi7tfAMx7RgUrX1lEVfVgnIaDZluA6uNa8d02kdnfuCIXrADUBmoBKLAW5LZZNAtFviKqBlcdsmClO6pFRbNaSCTaADDN7rNYxlNxIm2Z5QPS9r1aYBw+uOKvcMotmcebXoIHp8DCOw9bnYUQh9c5RX5ebw6yrC18pKvSZ0jAIgYE7xnlnR4XXDmOdWtXYG7oeLM3TU5x2qWfwefP//ju1LRkWi7yLPkYRyi3STIZzN7rHLC8s+d9LnjrX0x46z3+b1tmlkDq41OzVQ1m3ZEZy9Lu7fuhuRohRP+jKgrnl+SRMEy2Rns+1m4gky4hMSD45wzDNtRLy7yNmCmDlr9uoBAoJPMF3mRrY9C4fXeRrGtpAC8sqs1n7A9ewKYY2FUTuwZOCzgtCi6rituu4bFb8GgWPLtUBlc4GFPmwuVx4PI4cPucuD1OHG4bTre9VwnqUqlMwKLQkWthbfMWLt1oAiNBgZvW/YldK/NAiZFYdiaqy4HqdqG6XWheD2prCWprI5rNwH7WV1Hyhx3EqymE6CtOK/DyZksIl6ZSZrceeIcBTAIWMWA4JxQy6PaZNP17E8lVzQCE1Ci15yc5c8Y5WLR9/3OPaJlsuWYqjzQWUiZEdEAHPrauoWbq3BzIjDOJ7YnzPp0z7bYzMUE1QDVQNBNFM1EtJqpFYb3yAa2uOpSRzeTZ8rCpNpLxN/E5LdiVzbSs/CGrEsU801aIRbVjKk5M1YF1fZy2HZnVn6nZs4+ryYzV8datZuh5R3feBiEGglPzPbzWEpKA5UhXQIhDSbVpzBu5kHRNA17dzWuVq5h34jMH3M+0RQG4+fRpnFY+mZZgjNZwjLZInEA0QTCaJBhPEo6nicTSEPj4/nFMXQVDRTE1lOz/MLTMLQ0mmfhHB0YzDZrh374HWOnrGDBMIjvgtvU/AOR9rJ6vqy6mAopHpfCMKeiRKEYkhhGLY0QT6LEkRjxFsiVJaE0toddewztr1kG8kkKII21DOMauRArDNDkxr/cZugcaCVjEgPOXjX/B5opS1gbDYxNYvfZVLN5ivP4hDCso6VI+mU5jaG0owCkjxzKhrGuZjzNNk0e+8UbuccXcMXzm3FGYpkkqlSIeTRJoDRGLJIhHksSjmVsyliYZT7Ni1RaKokMpiVUwqnQIKSOFoWwmpTSQMjVMSx4JPUVDGtoMN4oZx2JGsMRUwKTm6jOpuv43+6xfw3330/z449Td/b+4Z85EdbsP4pUUQhwpy9rCFNkszJYcYDkSsIgB57FTHiRx0dX4owBrgRvZVTaTN8d+EUPVSVnj6Foaw5IGi4GupZmrX83G4hWMLRpygKNnKIpCq18jP6ADsHZBLefNGYGmqdhsNmw2G779/CLaEtwBa2Gq/QRu+dyVPb6215+YDCTIGzJhv+WKvvF1gv/9L6mdO2l8+BFKv/fdHp9DCHHkRXWDUa7uZwwerSRgEQPO6G0JaqMdj+sKKnm/tBHa7ke1jcfhnttlnzwG448NJpWOYVHdufV9AEjF4X9Lcw9X2qajT7iMicMT7FozCYD8mMn/3byIG+85BbfrwP3MRYN9tK6FZFPvrs0VyqzW6i0dut9yqtNJ2e0/ovZrX6flqafwf+YC7GPH9nqV6lQqxapVq4jFYowdOxaLxYLFYkHTNFTNgmqx4rKqspaREOKwk4BFDDiR5e/m7m+vmMPGUhsk1wNgpncy45slRGMxYrEEsXiCJW81UNlQSiztZcKdi1EVHYeWxGFJ4rCkyNcjvLTX8acl34PV7wGw2HUt66LnAuBPQH1jiBGVBRzI8MrBtNKCNdDzfulUOoknkplyXTh45AHLe047De/ZZxN69VW2XXQxKAqlt91GwZd6nrF31apVvPzyywAsWrQot32P7uWt1HD+YvtfpqpbQLWAxZG52VxgdYPNRZIEAWeahsknYrH60SweLJoHi8WTu69Z3NhtpbjdkuhOiHb9fs2cw0ACFjHgpBsbAQi7BrF1xGfQUtsxsgHL9M9cwfQJEzuVf+2tTDgSVDTAwDA1omkn0XRmenErno+nRsmZ6n6W96JzsWdTGtV9uJgRlRcdsI7jRo5gFS04k172NNczqLD0gPsEm3ajZT/FCkqHHbA8QOkPbiPy9tsY0SiYJvEPP+jRfu2GDet6njbDwfxUFRVKfSZYATDSkAxnbnu1btmAYmCrr46wZ/8fN+PH/YJBgy7pVf2EGIjShsnAXT3o4EnA0gMS6fYfkSVLCL7wAgBthWMBsKul/L+//htdN7F3My3wpPzlNDeczmljP+Tuq68hGAsTjIapa64hnjawWApZlHqKsdYG3OlWXAvvw5LITGVOOSJY5rbCK5mVklf/x8e0M6LYnd1n322X5/MRswdxJnz894mHOGbUUCxON3aXF5vLg83lxeH24XD7cXr82OwuWmuqqSk/C3uyjdGotG2qoWHNNkqPG4N/xOBuz2MtK6PiySeovfY69EAA1efv1etZWlrKjTfeyKOPPkoikUletTiVaQn5svYyH9psBFWF5qIzmHPBj7FiEm7ewrvrn+aNhtW86bAwOJ3m3mFfoMjjR0+HSeth0ukQ8fhuQqF1uXM5XZW9qpsQA9WqYIQpvv1/hhyNJGDpAYl0+4fqc84luW1b7vHW0ReDAWnNycKf/Bmb1cBiUVAtCppFwerQGD37eJKRbLeMZT1rVz6C319FMFSDknwQJ1BZ8TtGjPhMx7iW424luPpBVM1B/qTr+Bbw5Mp5RBozs4ten/cC51x9ebd1NAydZ+99kEhbBEd0KGg+hr+4E2/dP3Nl0tnbXg0V6AoEfJVUT/keAOtveqfjyTc24kguxWeNMe64Qkacdzwb1m1k88svU/Lhq5iXzmHc3DkE/v4PNK+3169rfn4+px03iVffXgFAMLt0QMS9hysGl2VLree2Vy5nqmllLUnSigLuzPIBrZrGkKrvYbVlPoBbWt5hz55nc8e3WPxMOuZR8vyy0rQQScOgMZXmeKt8PX+cvCJiwNg7WAGwB+tJezKzfqobuv/1vvz9XcB0AKyuVlLp39HU3LlMzY5rqdkBhqFgmiqmqaLrbiaM/w3tI1COPcvPkqcz97cuL4aru54rnUrx0FUX4rEkKLZHGGRJE7NejCUdZc9gB5akjpYysKYMrCkTW6pj7QzNBN2at89rj9vyiZNPw3vw5nvvZ7eeyYiW5Xjv/2cubcyfdz7HypeWYdWsWFUrZfVJTnitjqq8MTicXhSbLXuzothsqHY7itVG+QfLGNEYI+5wcNVgg8fGzuXRhjGorOhUj1VKio+H+H6LNResAOyo/QPNzW9mHykcM/E35Ocfv89rE2IgakmleS8QQVOU3DvGBCyKIlOZ90ECFjFwqCYYHV+Wx793D215o7BNLsM+8wwScQM9lb2lTerqNBqie01jtpaTSgVRlDoslkjXw6sdqd8sljZqd75OZeWJAIyaNI0lT2fGh2j2MK2hAG+8/w7v1a5mW6yaBn03jdZdnHZqlAcbmjo+oMyfU3/X85TNOr3L+QzDIJmIEAsHiEcC7PnDUmgEqxEnjQVTtTBzUpKy8WU0fNTAklVd3871fgVHDKyZ2de8667nw6bG3PNf+6/O8PdNEuzgQKuVHJf9+960aeSdHEVNr9hv+XZJ24js9SRRFCt2e8dCksdNfw6f75geHUeIgcA0Td7JLmh4VqGv1zP3jmYSsIiBIRFi3OcyqerNW7ZgJFKYoTYALMPHd7uLnkzwwV/+xdJ3C7CpUU4//TvkDcoEMIaRxjB04vEQup7EMFKk0wl0PcWK967G5WomkXiCV+b/nYL8mzn++Ktpc9axy7eF7fkf8Nt/3oGhZqMELXsD1tttpA2VaNqK35ZAUaBofHm39VNVFYfTi8PpheKhbDQz4z2Guls47uqTSAajDDk5k49lyOng+PNr7N7YxNg543n+6UxQUvb4/1E1aDSbNy4hmo5zw+B8UkaapJEkZaRI/OcnQIi2kyYweuYczGQSM5nK/E0kMFNJAi8uxIy15ep1UrqK59Zs5ivDRxCMbu1U58KCM5leOpWknuS1xt3EDJNReUPYUv0LamoeRVE6PnKqqn4mwYo4qmyLJvgwHOOkfA/50uXTa/KKiYEhmF1Xx+5D8RajeYGi7geittNsdirPnMjEmtNJmnYcpbtyz6mqBVW14PHYu+zndEwH5mdOa3XyRONi1j91H0zuXM6fKmS0bRxV/vH8pe1xAC4tmonl6j8Qv+cu/KkHAIj/4UZcNz2N6tl/M3Asks6c32OleNLwLs+Pu2oW44BYOAnZgKW0sAiby8OEqWd3e8xXUncDkDjxWIquubbbMp5zr2LnVy8DPYWt6jNYh52KrUVh6LBjebOio6tnyynH4LF05GP5+rsv8O9IOaXm89TU/AkA08xcg6Jo5PmPQ4ijQcowWdgcoNxh4/ySvCNdnX5LAhYxMGx8MfM3EYRYG9i9PUpm1rJ9HXmKTkyx4tw7Wdx+zJ79CJFIM5cvX8l7SgkOYxFe3ss9Hy35PgXOMsrsCSbm+5jRupy/tGWes5DilD9PwzVU5U9vOSkbGsOTfovEnVWYFz+K46TP7PO8sVjmrztv/9kvm9syJ0uqcUo8xfsta4llEtHZfHndPh9ds5HgCy+Bnimnt21HURTSRoo3izsG8E5orePy/+zBoSi4FXBpCkssVnBAkbELlMzg2vHjfoGiaNjtpTidPcsqLER/VhNLsDYUY06RD1sPP2NE9yRgEQPDtsUd9/8vO8DW5gG7D+xeDLuXnakALWaKtNWFafNg2D2wazsjgEbVyoJ3/47f6cfv9JPnyiPfnU+eKw+HtWuA4HYX4vWWQzhB3HM69ui72OKZLpuIYwIRE2rj8PYeuHfNicxrGsd1Q3/Ib8gMiA0AS/7n/3HubgPr2gexeyIYL3+J6PyRxCdeQv5lt6F87MMtntbAAq7C/U93rG/JpM9NWmM4LPsPbqzxTCBi9+Z12h54+R0a7/81qR0d047R7FiHZgbHWtTO08M/zC9jXwYpuwFIpwOsXXddp+cUxYbF4snevBQXz2H4sOv3W2ch+oPGZIp3AxEqHDYukFaVQ0ICFjEwzPg6bH2j87b2RGahzGybiuytOx85o9y94e7cY8VUOHb3GUzbORfV1FBVA9VhcM61xzK8KtMy8PT0KgYtygYgJd/jm44IywMv0PixY/9wZB0FBXd0OefON7ayrqCJYZ58ihNNqBYTF1twrf85z9y3mc9+58lO5RNmpnvKXZq335eiuTUzJ0i3J/dbDsAWz4yzcfrzc9uMVJrdt34LkpmJ1dbyCbhPPxP/xReh2pwkmsOEntvObR/G+XCMyQingjWdIpJOE07pRA2DsG4Q835IAc2MYWOm3u7RpNMh0ukwup4ZdGiaSVKpFlKpFgAika0Mq/x/MhBR9GvrQlECaZ1zi/zyb/kQ6lXA8tvf/pbf/va3bN++HYAJEyZwxx13cM455wBQXV3Nd77zHd5++20SiQRz587lN7/5DaWl+87ieeedd3LXXXd12jZ27Fg2btzYy0sRR7Wxc+HO7OTddALiQUgEiUUaeXj5Pexo/IA8NOYMOgFbOgGJEGoijBIPE4uFeMU3iGJDI2EmUJMOTq2+nMGhUR3H18GMwAfLtuUCFkVRuM1v4Z5AZlzGqpYk/znvXt5t2MIzHzzI08bVTH+jgfMaQ/x7/Fhq8zd1qnJz4HRKYk9RbO+6oJCrtoF/fvNmBp0zl+lnnorVZiOhZlpWvEP2n/q/LRACLODQD/iy2ROZVP8uf1FuW2pPUy5Yqfz787iOHdNpn5iZmUF1UW2Mb/6/0zqvu5QVCW9n2budW0qCwaHY7aXYbD5sVi82m5PKypPQNJOmptep3vpL7LZi+YAX/VYkrbOoNcQIp52T83uf80jsX68ClqFDh3LvvfcyevRoTNPkqaee4sILL2T16tUMGzaMs88+m2OPPZbXX38dgNtvv50LLriAZcuWdfuh1m7ChAksXLiwo1IWafgRn4DFDp5iwjYn17/7E1ZFt+L0F/LwrIc5rqz7gZ4nmiZvLV3N8gUf4dqTSQCXUuO4Topw9vQTeenXG8BQ8eQ5c/uk4yne3lEH2S/7yyoy03Wtu72UP3cBP0i1AlZS6lA+t+4z5I29nUddEykMDacwMpTiSDmPDf8cNWWX02TLo8maz+CCMmY9/xxz5v8d2AYLXmadw8mOKScRd51D2FbHbrWYaMMu3HYXTqcDp9XR6Ut+S902/IwmogXYH11P48w2wrj8hbntTY+3J6VTugQrALGmNgDienSf7+tIq9Flm6a9QToN6XTHeJzanVWcd+5LBIOZlirJdiv6q/XhGLsTKc4p8qNK0H1Y9CoyuOCCCzo9/t///V9++9vfsmzZMnbt2sX27dtZvXo1Pl9mtsNTTz1Ffn4+r7/+OrNnz953JSwWysr23QcuRG/tCO7gvOfOA8Bj9fDoWY9ybPGx3ZY1TZNfP/Q3rB+W4aIEE4PQoDou/tIJVA3PLDJoamtRDDt5xW42v/0Bb739FrtijWyZfGLuODWhTKvEkkc/RKPzgF9rNMpF0TbiOy6iOd2xcOHz5f+/vTuPj6o+Fz/+OWfWzExmJsuEEBJ2REAW2SSAooDgAiLe24Va9bZ20Vbr1bpAbUV7b9X7895We23VW29d2nqxVcENRHZBQTYXFkGIIFv2Zfb9nN8fwUBMQhYSMkme9+s1rxeZOXPmOfkyM0++y/OdiMVj5ca8LH5SkIPZoKJNGMkHUydTvnIluZvfx+3zssu0m9fGv4emavx9R8NrMGgmjJoJIyYU3YBptJmYIcLal/6KUTXW3UxqbcE4s8GMNarT+xInFfoohv/1A5z2TzEbDcSP7oG8kZiTCXZ/5x763norYwv7YTq5AujTFSu4gElYVCv+Y2Wk5+c0iKf0eDEb37seh6OK2bMnU1r2AclkEC0ZQNeDWKy1vU1W6z7eXj4VozGM0QgGQ+8G5xIilem6zupKH/lWsxR862Bt7spIJpP84x//IBgMUlhYSFFREYqiYLGcWgZqtVpRVZVNmzadMWE5cOAAeXl5WK1WCgsLeeSRR+jbt6nZBhCNRuv2NQHw+XxtvQzRTV2z7NRqm0A8QCzZ+HyOaDzKH55+Bcue2i/K/GPryD++gYH3/QRXXj5Q+3+deO0k0zdXLEMz1u4jhALpsSgnF1TzeFRl6LYvSSrUbVL4lWsHPcyX9r5sTB/G8AO1sRT1MvLvkwYyv1dGvWNVVWXqVbPgqlkkk0leXP53Xql6uP4JdQWUUy+SVOMk1Xht8bfT39Xxpn9HWsJBqNdt6PFM1lYD1Scf6D2u9vaVtz/jGxuP8NgvLgVg6NxL8S85Qbopk0N/fZ9RC+c3OHd5cTGgEg9kMXLkdxjJd+o9vnfvaxSX3AOA1Vpcd391tXSji64jkEiyutLH9CwnTmPzqxLF2Wl1wrJr1y4KCwuJRCI4HA6WLl3K8OHD8Xg82O127rvvPh5++GF0XWfhwoUkk0mKi4ubPN9FF13E888/z9ChQykuLuahhx7i4osvZvfu3aQ3se/JI4880mDeixCnW3HdCma9eqr2yE+X386t/e7k+mnz8UX8VNX4KC2tZNPSz3FW1CYr7mMvcNBeiTfXwK4X/8SEd5Yz4vkXqTnmRUFFR0czRDHoKsOyBzJl1jTu6ZvL+Pd2U22u7QK+NVAN38wkI5BkYlTluetGE4v4iMW30c/Vi7c3fMJrYzR0VWHTxPMZbD/zKh5/NMkfT05QPV1BMpfZWTOZOfJq0m0ZhKLh2lssQiga4pD/C6JOP5FkmFAiRDQZJZKIEElGiCajfF7q41jRAtCsoESZlqxC1xRiukJcg6iucFh1EDhZUn+FL8h/xJKoZgMDJkzg4PGNsAXSq9I5vGk7/aeOrxdfVUXtvByrueFmkwDDh19HRsZgqqu/IBbz8f77a9A0A1OmXN7CFhaicx0OR/k8GGFejlvmXZ0jiq7rrdqMOBaLceTIEbxeL6+88grPPvssGzZsYPjw4bz77rvceuutHDp0CFVVWbBgAXv37mXixIk89dRTLTp/TU0N/fr147e//S0333xzo8c01sNSUFCA1+utG45qT+sqfVwmXX1dUige4qHNDxFfmcOgygsbPSZuiHLBl6/wib203v15kQTfXraC4h1lLH12DwY1yeXfy6fggoGY0071JOq6zoI3P2F9I/n1vYqNn10yGOPJuR656z4GoMBqYlvhiDPGHk9ofOvdXXyQpuMJ+7jTeoQ9xzezIbGZqFrbdaLqChMYzdwBc5k9aS5WS9oZzwmw8/ghrvvvvSd/0nj25v7MHNKw4uxVv3ybvbXziSlA5d96+dBMoBsBo8rQg7XDuMeifo5lVZMzKB+zzYzVZmbTxvVU6VEynEZ+ePvPMJvNZ5zH9vvf/56qqir+5V/+hf79+zd7DUJ0pn3BMP6ExgSXvbND6fJ8Ph8ul6tF39+tTli+bubMmQwaNIhnnnmm7r6KigqMRiNut5vc3Fx+/vOfc88997T4nBMmTGDmzJk88sgjLTq+NRfcFpKwdG26rvPUnWvQI6e+MDWSxMxh4pl+rvrOOEbk5fPs9dcRsJrrjvnGPb8ic9BoPnxpP/t2VeK2Grj+8WmNvkY8qbG5qIJ0s4HlX1Tw30q43uMFEZ0as4L/ZAgmReHopY3PqYHafYTufHcvL1sSWJM6r/TNZ/x5tUXgfP4a3vrgNd48/ja7DZ/XPceRtDEj7WLmj/wnLhx+UaMJwv+s3MbD68rqfp56gY+/fndBo7+zQYveRkPhCkzchJmCr83LiWg6K32JJq9BR8fn3kPMWrtk2Wg0YjabG9xKSkoIhWrn//zrv/4rbre7yXMK0dmq4wl2+EIyX6WdtOb7+6yX42iaVq+3AyA7u3bVxNq1aykrK+Oaa5qu3vl1gUCAoqIibrjhhrMNTQigdvmxQTeRIMn0W4ZQMCgbu92Kop7qxtV1nQX/+zolh6o4uvcLAtVmVr8cI+z/oO4Ym7XpMWqTQeWS82onn17YP4vCt/bzHfuppOWotX6XcY75zG+9JX/4M5EcL46MSfxXVt+6ZCX6xE04q5exQDdy3YBbODryDl7/4j2We1dRbqzi9dhKXt+xkoKtuVyddQXzJ32DvF6188E2b9vAw+tODS8Nshi4c/il9V43ntSY8fwWSooDaCe3aJwwtpKYLZ0DsSTJeAI9luTQl9XET/QHTg35GE3VtTtaayqa7kBBRU2eGvJKJBIkEom65OTrrFZrh/zBIUR7iWkaG6r8zJNCcJ2iVQnLokWLuPLKK+nbty9+v5+XXnqJ9evXs3Jl7b4qzz33HMOGDcPj8bB582buuOMO7rzzToYOHVp3jhkzZjB//nxuu+02AO6++27mzp1Lv379OHHiBIsXL8ZgMLBgQcO/+oRoi0gwTiJaW5Nk0Pm9MZkN1JSFKPvST8VRP+VH/VQcDRANnd5bUDvkoqgKrnQTznCcC4ZmNHL2hrS4xoiiIO9UhjhqU9lX6OH5sJ9Ki4olqfMju5OfT2y4F9BXti7/C9+qvIfvVGp4VQ+WQd8jFh2LadxlGKtri+MpSgLr4ScZcvhJfjZ7CXfOX8T7O9fx+r6lbEhs4aihhKdrnueZFS9woTaCiwxjmLl/LA+RxmJqE6miaJJ/+vtObtjg5le3TsRsNfGDN3dx5EB1XSxahpn7PcNwaSdYP/0SskxpPPM/S1GPDQEgZPLhzjZzw70zsJ42TPb3h7dRfsTPN6+/lr4XZBKLxYjFYkSj0bp/n36rrq5m9OjRZxw2EqIz6brO2+Ve5nhkzkpnaVXCUlZWxo033khxcTEul4tRo0axcuVKLr+8dqLc/v37WbRoEVVVVfTv35/777+fO++8s945ioqKqKg4VSjr2LFjLFiwgMrKSjweD1OnTmXLli14PGfeA+VcOqsxM9HpSopO1SN58/cfU3E8WJfAnE41KGTm2fH0TSenbzrZfdPJ7uMg8M5hAh+cIL138+PVvg1H8a06AgmNbKBgWCZzpw1h8rFqHP+zG1ccjHqADeVxZs0d2uCD79C+dYzYcQ8GauuYuLRyOPD/4ADoK1UMSsP6JsaVN6PlruGSCTO5ZMJM/H4vb29eypvH3uZTwz4+VT/j3s9vwKZZGZBRzOd3XMPefTU8vXI/71QH+EtpDTt/vYbrZw1kw4fH6s6bzEsjMbB2Yo5XzeOFw59i23QEw67auSvxoce47oohVJdUsuHVpXhLkoR9Osm4QrgmBzCQnpWG0WjEaDRis515SwEhUklM0zgeiXMsEiOm60Q1jRlZTkyqJCud5aznsKQCmcMizmT3e8fZ8FL9KrNGk0p2QTqeAgfZfdPxFKSTmWfHYGz4F37lS58R/rQC15yBpE9tesM+/8ZjeN8+VPez9fxMMr87DPXkObfvKkF74wvy/LXJ0se9zMz+2QRMhtrHj+3/gHf+73kC2OlFBdk5fcit/hiPVo0ncQiDEm34oifF1QEYfrYW1V2/Cu7hYwf58LV3mXJiJCE1Qv6vJmNLO5V4vbXqIAvX7Of0dUiu3nb+dkM/rtu2BZ95WN39Sxxm9vxvSZMxfJ3B7OeGhwuxOxrWaREiVcU0jdWVPmwGlX5WC32sJtm0sAOd0zksQqS6EVPzCPlixKPJ2gQlPx13rzRUQ8s+hJL+2rophnTzGY8Lbjm1fN919QDSL86v9/j4kbloI3JY9+R2hp6IMqY0xo6HNzPxF4UEEgn+snQFUfIAqMHF/jKASQCYlRjXDHUwdPR0CPpJlhSjWEwYhk8m8u8TObo+Ci9NYcCypYQ+KcI1dwYGm5X++YMxltTG5cxw10tWAGb0NfFnHPySEJ+joRsUrrrAwZxNrxJJP1U76S/D7Bz4/dEG16yoCWwZNaTnxHDnGsnolYnRDF8e/S0WVzk2+7YW/Y6FSAWRpMbyCi9zPW7pSUlBkrCIbk9RFSbOaXrOSHM0f+18FkN64zVFvpKoqe0BMWRYsE/Ja/QYVVWZ/KMLqXxwCwD5QY0jpX7+uHwptogBzaBw1SgPSjRCaWkZZb4YZXErMcws2x/ie0N99Jkwq26qq65pHF1/qlfl4xtvoiwnh17/+RATPtyCruucHF0iURnh2OZd5BfWLmGuWfY+gS0aeag8hZ2ZQxRibjPPqUZIr1/ocU3pcX61aDIvPLwWV/ZG3APeZ0zhs+T1GlJv8jJAdfWHlEcOkJbWD0WRv0zF2TkUinI8GiPbbOQ8m7XDyt6HkxorKrxc43FjlGQlJUnCIkQzEhW1k1T1ZDOjpycfVsyGM04eTbOaKJrem0Fra3s+nn7nHWzHDpNUFAqv/QaTRg6vd7wWj/J/j9/PgaCDJW+u5ke5A0nPO7kxo6LA1LHsrQpTmZXFiT6nhqzKn3mFC8deUD/EZdV8vPzveGafh77l1HyYjLEau68Yx3dfX8PmzP4NYn79YDXnbZ/P0MtPLaM+/tnfKD2YjtnsxGRxYrG4MKe5CUZ3nLzO/AbnEaKlvgxH2RsIM8BmYYLLTnkswapKH+kGA4Vue7tPfF1Z4WVejhuDTKhNWZKwCHEGyeCp2vZaIE70sLc2SVBql0ujUPszgFabsSRKQ8RLgnD6597pH4IKjByaTWhtMfsMx7Eeqd2ZvO+lM7nqa8kKgGqy8E8/XsizTzxKRdLBS889xTd+cDdqpJJPN77N2vzBkN/wQ3Z76V4Cyw5z/NB75DmHMKrvZbiCGWTHe6O/5a877lBsHxddfSNmu4XXrr+Gf33qBV4efqrInkWPYDBZ6Tvg83rn9/PX2sVUcSDY8HcX9Z+5R0qIpmz3BlGAKz3uuvvyrWbyrWYqYgleL6tpc4XZYDLJ4XCMkmgcBcizmlBQ6G0xSbKS4iRhEeIM9Nip1URVL+8/w5H1lT6+s8nHIkqUpKJRZDnONr4EwDh6HD+cNqXJ51id2Sy4/rs89eIrFMfT+f1Tz5z2qEKW6md4rgVdVyj8xs946X9e4XiknP1GP2lWO/0vHMuIn1xD5SeHKFn2Ka5w7TCSrutsL9vH3jtWkZ6sRlU0Bg7TyNOPMZHNjGU7gzhIwmzg+O7+5F9wmGSgL3rCiE4UiKErMRQ1AYY4qiGJakqiawrR6l4t/n0JAbX/H1dV+hhiszLAZmn0mGyzkUluB58GwoxOb9nKM03X2e4NUhFPkGky0j/NwghHGrquczwaJ67pXOR2tOeliA4gCYsQZ2BwW7CN8RA7Eagd8tFrP1TRqe1R0QF0tKSOHjhZu8WkopgNJw8+dS5dh53Wvfwi93EAJpdMpne4N0aLjV/Mu7rR109qOrGEhj8UIeToz5B+vfnsy/K6x/tb/Yzs7+GCK2/F4jqVINx4+/d57vE/UUIVJ4aP599sZgx/e5U5fTzM/NFkHnr1dfr5PsFdVIQtJ4YWn0x1vA/p+Tu4YNzTPPa1OIzmJP7dKorzXmxWG32GDqNgxCiM5lMTkXVdp/jAfv7vgbsBnUtvmNjWX7vogXZ4g5TF4kx2O3CZzvzVlGsx8ak/BM3slVkajfOJP4SqKIx12pj4tfMqikK+9cyT6UXqkISlBbr8um/RZoqikPnt81t8vBaKo9qaHgq54oUfAdAr1Ive4dpNFxPREAv/7f+h6Do6oNRmRYBeO+KEjkVpWDcmKzubf7ntwUZfx2JPY+51s3nuT39g3ZiLKXVlAbBNh8X7jsOI8cB4npl0Ew4CJML/zhfv/BtpWQebjD3qNfPRijfrfjaaLWTl98VksZCMx4kE/VQXnzj5qEJaupQCEGem6TqbqgNENI3R6TbGtWJvHrOqEElqWBtZ7VcZS7DVG8BjNjEr29WeIYtOJAlLC8iopmipMyUrp4uq9ffgsemR+ge04D9diT/Bl9vfZecHazlusPPM0MsxxeIMNYBf0zlosJBx+TcptTbd1W0/WYHFmOYjzR0k3fBTbEkbIcMbDY5Ny44Qrkjjgssu5/DHOwhUV1H6xYF6xxiMRlAUtEQST/+BzV+E6LHKonE+qAlwWWZ6sz0qjZniTmdZWTVzPG7SDCq6rnMkEuOzQAS3ycAV2S6pSNvNSOG4FpDCcaK9fPIf1/KBZQfPRudTXX05+WoNc4dnM/q8vpgMKmaTAZPRgNlgwGxUMRsNmE0GXOkO0ixmaoJRXlv9ASV7Ntc779sjCzmaeeY5I3fb4OK+Rubtq02Wfq4/zFh24HZdgivtnxk49Mq62jTJZISt2+YRCp3qccmz/g/9LhiPzelC05KUHz5ETWkx0VAQm9MNikLekKFYHemE/T7s7pZtZSB6nspYgh2+4Fn3fsQ1nQ+9AWInJ7wXWM0MtlkkUelCzuluzamgoxOWtZU+pkvCItpJOBxh2ENr6n6+/qK+2MwG0kwGrGYDNpOBNLOBNLORQR47I/Lqf6iXVnn57RP/TZpyqpdGdan8cUzjm4wOjAWZkmbi9nEX8E+fHORoVGOAfpAX+x2lb/53sFiaTnR0XaPGuwOLORubre21bIQ43YYqP1MzHLIqR0il2/ak67oMCYl2ZbXWX/3wtw+PNHmsQVV4+UeTGN//VHG4XpkuPoj3JYGJ389OZ8K0OQA8oOsc/PITVhz4lNXxdD6y9CGmmjluNLI5GuD/tn1OQodMk4E3xl+Jx9r8fAFFUclwT2jjlQrRuKSuS7IiWk0SlmYkdeSNJdqVoih8sngWv1v1OX3caQSiCSLxJKFYknC89haJJTlUEeSLiiD//PSp4Z+JAzIZkmXmqFY7iXbA8PGnn5jB/cdwe/8x3A4cKTvCd7fu4HP7AA6qFtDhwnQbjw7Nx2OVjQiFEF2LJCzNSKJjkHxFtDNXmokHrxlxxmNKfRGu/v1GKgKxuvu2Hqpi68n9FXOpJKtiO3gaWRIdj9B33S9Y/9lb7Lf1p2zYPzNo+l3k2yVREUJ0TZKwNCOh6xilh0V0gl5OK5vum87BsgD3vPIpnxX7ABiVY6KgYiPXGTaivPwxLFgCQ6849UTfCXj5u3B8B6rBzLDZCxk2+tudcxFCCNFOJGFpRlInZRIW/8bj+Ncfwa3+N5bMarTcsVS+d4LqFVvqjhmwbCnW81teN0SkNqvJwAV9XKy442IOlvlxWEzkuqyQvAzeuB0++Qhe+yH8cB1kDwbvcfj7jXB8B1ic8O2/wYBLOvsyRDdWEUuw0xes+5xUOFW7Sj/5swZkGA2MTE8jrumYZXNB0QaSsDQjoesdtjtoa4Q/qyTxzh/JVDdjNeygujKdiqovyYlUUmrIZMV4hahJwfLIddii8O0HXyLn/DGdHbZoR4NzTivraTDB3N9D9WE4shmeHAdDr4aDqyAZA4sLfri2NokRooMcCkX5MhJt0fLk8licD2uCaMDUDCmDL1pPEpZm6Dqkwh8DkfWP8X+VM9CZgQZ8VHCEVROGM8L9CeqgP3DUU78SaunKB/jN+Q2Lf4luxGiGb7wAT02GUAXsf7v2/n5T4IpHJVkRHe5AKNLiWioeswlPpmyIKdquYU1jcVb69+/P448/Xu++MWPG8OCDD57VeV/eNQMdA1DbaOOO9uXdn91EP3+Qi4JzudeQz69yEgy31iYu/UYMPavXE11Eei+4YSmcPwcKb4MfrIXvLYfeozo7MtEDpELvs+g5pIelHfTv3x+fz8cDDzxQd9+YMWMoKSnhlltuaZfXyOuXztFDobqfPWU7sUx/gNzIfqwFpah5fj5jEnM8RczeGmPSREO7vK7oAnqPqp2rIsQ5ZjeoeOOJNpXWF6K1pIeljRrrSXnsscc4cuQIv/jFL9i9ezehUG2CsX//fv7zP/+T3NzcNve0XH3bWMbZDAyyqAzf+2dGlW/G7MznmWnX8ruBP+HnypM8pdzBPcrv8R7NxES/s7xCIYRoKKZpfOIPsbrSR3U8gcMofxyJc0PS4nZw7NgxzGYzXq8XXddJJBIkk0lCoRBPP/00kUgEk8lEZWUl69evb9NrGOxmJv12GrHjlRTN2IF59PVNHhupsdKv/01tvBohhGjc8UiMHb4QhW47o9Olpo84t6SHpZ1EIhG+vi1TMpmktLS0wbFnM6fF3CeLYfs+o2x2DmuL/8a9298CYHjgIENL93Hxh6u4cv7VmNPkw0QI0b52B8Jck+PGY5bJs+Lckx6WdvD1nUHj8XiDY7667/Dhw5SWlrJ+/XrGjBnDtdde26bkZdL3f8Sk7wMH13DXX6edeiA9D+Z91OrzCSFEU45FYuwNhCmwmjs7FNGDScLSRqqq1vWoqKpKMpls0MPSlEgkwscff0w0Gm3zEFGdwTPggSqIeCHqA0cvMFnP7pxCCHGaj3wh5ua4OzsM0cNJwtJGHo+H4uJiANLS0ojFYs08o1ZNTU37B6MawJZZexNCiHYmlWlFKpCEpRlN9ZlMnz6d55//M1OmZtOrlxuv13tO4xJCiHPFYzbyZThKvzRLZ4ciejCZdNsMHb3RX9LChQsZMKYv37n+1xw9UY6iKJgNzS/vO33YqKVDSEII0ZnGOu28XxPo7DBEDycJSzNqS/PX7w5NaDprIhrL39hM0B+g5HgxgwYPIpbUmj3fV0NHuq63eBhJCCE6W6psAit6LklYmvHVbqNfSWg6r5dVc7XHhftkdUen08mO7Tv41re+ibFexceGb/CkVturEgwG29zDciwS47NAmLgmPTRCiHMjW6rZik4mCUszNHQUoCwaZ12ljxUVXubkuLGo9X91TqeTJUuWUF5WTp9JU0/e2zChiMeiQO3KIlVt3a/fl0iyrLQafyKJy2jgvWo/H0o3rRBCiB5AEpZm2A0G9gbCFMfiXJyRztxGkpXTud1ujry/gWHX3YTDmcEP71hEesZpq3dOdqvm5/Vm5MiRXHrppfWer+s6ZdE44a8NL9XEE6yv8jMvx80wRxp5VjMzspxkmox84g8hhBAdqfkBbyE6lqJ3g5mfPp8Pl8uF1+vF6XR2djhA7fLleTd8jw/XrcZgczDk27dQsmIJF155FT++/5dc2yujwXO88QTrqvwMslmoiScJaxomRUEDLKrCFLejQZE6gDWVPmZkpcZ1CyG6n10n/ygaKeX4RTtrzfe3DEp2ELfbzYY3l9b9XBaK8syNNxKujnJe8tRqIl3X+SIc5VA4hgLMy3E3mpQIIURHW1XhRVUUzIrCQJuF0lic0micQTYr59mlIKXoXJKwnCM5Ngu/Gj+A9ceqeLO4ihLLqQm9A20WZmSmtzlRkfRGCNEeDIrC9Cwn4aTG4XCUflYLY532zg5LCEASlnPu0vxMLs1v34q0ChBJalgNMiVJCNF2sZMrD9MMKsMcaZ0cjRD1yTdcNzA1I52f7z/Kpmo/lbGELHcWQrRJf5uZvYFwZ4chRKNalbA89dRTjBo1CqfTidPppLCwkBUrVtQ9XlRUxPz58/F4PDidTr75zW9SWlra7Hn/8Ic/0L9/f6xWKxdddBFbt25t/ZX0YCZV4Q/D+zEm3caRSIwtNQHWVvpYW+ljzcnb1pqAJDJCiDM6355GRNNYXelD6/rrMUQ306qEJT8/n0cffZQdO3awfft2pk+fzrx589izZw/BYJBZs2ahKApr167l/fffJxaLMXfuXDSt6QVxL7/8MnfddReLFy9m586djB49mtmzZ1NWVnbWF9fTOIwGLnTauDgznelZTqZnOZlx8na+I42N1X7erfCSkMRFiC4prulsrPLX/TGyzdv2ApRNGeu0U+iy83a5l4OhSLueW4izcdbLmjMzM3nssccoKCjgyiuvpLq6um5pktfrJSMjg3fffZeZM2c2+vyLLrqICRMm8OSTTwKgaRoFBQXcfvvtLFy4sEUxpOKy5lQVSWq8W+ljostOrsXU2eEIIVphaWk1V2S7SDs5X608FufDmiBzctwd8nrvV/sZaLPQ22LukPML0Zrv7zbPYUkmkyxZsoRgMEhhYSHRaBRFUbBYTu3mabVaUVWVTZs2NXqOWCzGjh076iUzqqoyc+ZMNm/e3ORrR6NRfD5fvZtoGatB5ZocNzt9QYKJZGeHI4RooYOhCBc40uqSFQCP2cR4l52d3mCHvOaUjHR2+WVOi0gNrU5Ydu3ahcPhwGKxcMstt7B06VKGDx/OpEmTsNvt3HfffYRCIYLBIHfffTfJZJLi4uJGz1VRUUEymaRXr1717u/VqxclJSVNxvDII4/gcrnqbgUFBa29jB7vimwXG6ulrL8QXUFC09ntDzOkkVoouRYTx6NxPguEee/kcNGBYPsM5bxfXVvIUohU0OqEZejQoXz88cd8+OGH3Hrrrdx0003s3bsXj8fDP/7xD958800cDgcul4uamhrGjh3b6j1zmrNo0SK8Xm/d7ejRo+16/p5AVRSMqlRwESKVBRNJVlf6WFflY3a2q8njLs1Mx20yMNntYHqWE6OisKy0+qzmt0SSGkkdBtmkYJxIDa2uw2I2mxk8eDAA48aNY9u2bTzxxBM888wzzJo1i6KiIioqKjAajbjdbnJzcxk4cGCj58rOzsZgMDRYSVRaWkpubm6TMVgslnpDT6JtLIpCTNMwt3NCKYQ4O7GTK3WcRgPTMtIxNfPHRbrRQLrxVAXtATYLHrOR5RVerva42xTDgVCEwdK7IlLIWX9TaZpGNBqtd192djZut5u1a9dSVlbGNddc0+hzzWYz48aNY82aNfXOt2bNGgoLC882NNGM0U4bWzto7FsI0Xbrq/zMzHIytQXJSlMcRgNj0m1t3tG9NJYgzyqTbUXqaFUPy6JFi7jyyivp27cvfr+fl156ifXr17Ny5UoAnnvuOYYNG4bH42Hz5s3ccccd3HnnnQwdOrTuHDNmzGD+/PncdtttANx1113cdNNNjB8/nokTJ/L4448TDAb53ve+146XKRrjNBqIajreeAKXSYoeC5EKikIRsk3Gdun57GM1sz8YwZdI4jytB6YlnAaVw+Eo/dOkl0WkhlZ9S5WVlXHjjTdSXFyMy+Vi1KhRrFy5kssvvxyA/fv3s2jRIqqqqujfvz/3338/d955Z71zfDVk9JVvfetblJeX88ADD1BSUsKYMWN45513GkzEFR1jemY6b5V7meS24zHLMmchOlNC09kXjLR5GKcxl2Wms6yshmub2Fg1rumsqfRhVhVims60zHTSDCoT3Q4+rAngSyQZJbs0ixRw1nVYUoHUYTl7ayp9DLFZ6Ct/TQnRabbWBBhit5LRzj2e3niCPYEIkzMc9e5PaDrLyqqZm+PGoqokdZ0V5V6G2q11K5J2+UNowGhJWkQHOCd1WET3MiPLyeFwjEOhaPMHCyHaXXU8QU0i2e7JCsBOX4g+1oY9qNt8Qa7IdmE5OfxkUBTm5LjRgdUnt/c4HI4xVFYKiRQgExdEnUsy03m3wkuW2djq8W4hRNvFNZ0NVX7mtXPFWl3X+d/jFczLcTc65BtOatga2eX9PLuV8xqp+SJEZ5IeFlHP5VlOVlf6iJ5h/ychRPs5FomxrKyaqzyuRueYnI23yr1cnuVsNFnRdZ1gUkNt59cUoqNIwiLqURSFazxu1lX6OzsUIXqEzwJhvpGb2SH1kEJJjd6N7BnmTyR5vayGKV+b0yJEKpMhIdGAUVUwSxVcIc6JjuzLnN/LzapKHzlmE+OcNoqjcXYHwtgNKnNz3Bikd0V0IZKwiEbJx5gQ54bHbKQiliDb3P4fx2ZV5WqPm6p4gvVVfrLNxjOW+BcilUnCIoQQncisKCQ7uLpEpsnI9Cwp+SC6NpnDIoQQnag0lqBXI/NMhBD1ScIiGiVrhIToeJWxBFrXr90pxDkhQ0KiUVZVwZ9I1tsBVgjRfnb7Q5TEElwuc0qEaBFJWESjCt0OlpXVML+J/UeEEK230xekOp5E03XOs1u5QMrdC9FikrCIRqmKwqwsJ2+Ve8mzmBhqt+KQ3hYh2qQ0GmebN8gYp42xTntnhyNElyQJi2iSw2hgbo6biliCvYEwgWTtzJavRtxdRgPnSyIjxBntC4apiiWZ085l94XoaSRhEc3KNhvJNjesiFkTT7ArECZ4MpHpZzXX7fDaHO/J50Y0vd7M74Suc6HT1mgpcSG6oqPhmMxTEaIdSMIi2sxtMlLoPpXIfOQLsbrSV1d0TgEsqoJJUVAUBV8iWa93ZqzT3mDjNV3X2e4L8XJxFfN6ZdDHYpK9TkSXltB1dF2XuWBCnCVF17v+mjqfz4fL5cLr9eJ0SnGkVBJJaiR0HQ1atQN0QtP5IhzlRDSGpp+qvGtQFMa5bNgNMgwlugZvPMEHNQEKrGaZZCvE17Tm+1t6WESHsjaydX1LGFWl0S3uo5rG1pogABdnpp91fKJtdF2nKBzlcDhWl0wGkkkG26yMcKR1amypxmUycqXHzZ5AmM8CYYbJ70eINpGERXQpFlXl4sx0ikIR+fDvBFXxBNu8QRRgiM3KjMz0ekMdnwcjfOoPMUp6EhoY4UjjrbIa+T8rRBtJwiK6pEE2K6sqvPLh384Sms7eYJjqeBKDAgVWM70tJg6EohyLxMgwGpiV5WxyPsZ5ditrKn3nOOqu44kvS5ma4cBtko9eIVpLSvOLLsusqpTH4p0dRrfhjSd4s7yGXLOJKW4H4512ErrOVm+QdIPK7GwXE92OZiePytTSpn03L4vPgpHODkOILknSfNFlTctM58OaAB/5QlhUlUE2C30sJlmN0Ubrq/1ce1plYyMKg2xWBtlatlQdaoeM3FKXp0k39clmtfRACdEmkrCILu2ik8uqE5rOgVCE1YEwbpORCa6OqSYaTmp84g8RTGr1ehI0wGlQGe+yd7ll2Lqus6LCy+QW9J40Z48/zES3VHJtiqbrstmhEG0kCYvoFoyqwjBHGsMcaWyq9hNMJLGf5V/6wUSSkKaxNxAhcfJLxqIqjEm3NVrdtzqe4J0KLwPSLF1ibk0oqbG5JkBS15niduBqh3kVMV3HospIc1O2e4MdlkwL0d1JwiK6nfFOO9u8wTYvez4eibHLH8ZlMmAzqEx2OzCpzfc8ZJiMXOVxszcQZnl5DcMdaeRZTJhT6Av8i1CUQ+EoOmBRFC7JSG/RtbXUmHQbKyu8zJbKro3yJTUZMhOijSRhEd2O1aAS0bQ2PTeqaXzkC53Vvi/DHWkMs1spCkf5sCZIvJEhgCyzkQFpllYV0ztbW2oCOAwqM7I6rrhiltnISEca271BxktPQgPD7Fb2BiNSq0aINpCERXRLHrOJnd4go502DK2Yl/GRL8Sl7VCQTlEUBtusDG5kwqqu61TGk+wPRvAlkiR1nTyLqUOroH4ZjmI3qOek0mqe1cyeQLjDX6cr6mM1s6vcKwmLEG0gCYvolsY4bZRE47xX5efr/RtTMhxNzrPwJ5Idvvu0oignN5Q89fY7GonxTrmXHIuRsc7275nYH4ww6xwO04Ta2MPVE7hNBqriCTKlFosQrSLvGNFt5VpM5Frq7/ocSWpsqQkS0zQMisJYp62uiFdVPNFp800KrGYKrGZORGIsK63mmhx3u6022h+MNPg9dDSH7PXUpAkuO+9V+bmsA4fmhOiOJGERPYrVoDLt5JBPQtPZ6QviS2qogFVVuSTDceYTdLA8q5nJisLuQLhBeXtN1/mgJkAoqWFUFDTAqiqMd9ob3bMprulsqvbjMBrO+cqUNFUllNQa7MYtajfwTHZ2EEJ0QZKwiB7LqCpMdHdugtKYHIuJnb4Qo06bSqPpOq+WVjM721Vvom4oqbHVGySh6yhQb/hLVWCi294pO1ufZ7eyLxjukOGt7qBrVeoRIjVIwiJEChpos7C20selmemURON86A1ySUZ6g1VFNoPKJSm4a3W22chOX7Czw+g0uq43WYTvcDgqS5uFaANJWIRIQefZrXjMRtZX+XEbDczvldHZIbVavtXM58EI59lbXtq/K/vYF6IsFseoKOwLRsi3mrEb1LreFAWI6zo5ZhPjZMm3EK2m6HrXrxPt8/lwuVx4vV6cTpnIJkSq2FoToCaR5PIz7PDc1em6zruVPgamWRjSQ5IzIdpLa76/pYdFCNFhJrodlEbjrKzw4TDWVg3uanstNWdlhY8hdkurNokUQrSeJCxCiA7Vy2LiCo8LXyLJ6kofCtQV8/t66pJtNjLyHBS3a08Oo0ofi7mzwxCi25OERQhxTjiNhmaL1x2PxFhRXkO22cR4p61LDCPFNB1LO+7HJIRoXKuKJDz11FOMGjUKp9OJ0+mksLCQFStW1D1eUlLCDTfcQG5uLna7nbFjx/Lqq6+e8ZwPPvggiqLUu51//vltuxohRJfWx2rmSo+b/mlmlld4+TIc7eyQmqVDl0ishOjqWtXDkp+fz6OPPsqQIUPQdZ0XXniBefPm8dFHHzFixAhuvPFGampqeOONN8jOzuall17im9/8Jtu3b+fCCy9s8rwjRoxg9erVp4IySsePED2Zx2ziao+bdyu8ZJuM2FN0GXBc00l2/XULQnQJrephmTt3LldddRVDhgzhvPPO4ze/+Q0Oh4MtW7YA8MEHH3D77bczceJEBg4cyC9/+Uvcbjc7duw443mNRiO5ubl1t+zs7LZfkRCi25iZ5eSdCi+xFN2b6ENvgKkZqVcHR4juqM11s5PJJEuWLCEYDFJYWAjA5MmTefnll6mqqkLTNJYsWUIkEuHSSy8947kOHDhAXl4eAwcO5Prrr+fIkSNnPD4ajeLz+erdhBDdj6ooXJOTwVvlXqIpmLTENF22HxDiHGn1O23Xrl04HA4sFgu33HILS5cuZfjw4QD8/e9/Jx6Pk5WVhcVi4cc//jFLly5l8ODBTZ7voosu4vnnn+edd97hqaee4tChQ1x88cX4/f4mn/PII4/gcrnqbgUFBa29DCFEF2FSFa7xuFlR7qU8Fu/scOqRwSAhzp1WF46LxWIcOXIEr9fLK6+8wrPPPsuGDRsYPnw4t99+O1u3buXhhx8mOzubZcuW8bvf/Y6NGzcycuTIFp2/pqaGfv368dvf/pabb7650WOi0SjR6KnJeD6fj4KCAikcJ0Q3t7kmgD+RZKjdSr80S6fGous6Kyq8XOVxd2ocQnRlrSkcd9aVbmfOnMmgQYO49957GTx4MLt372bEiBH1Hh88eDBPP/10i885YcIEZs6cySOPPNKi46XSrRA9y2eBMF+GYxSkmRnhSOu0GJxGA32sUoNFiLZqzff3WQ++appGNBolFArVnlCtf0qDwYDWirHnQCBAUVERvXv3PtvQhBDd1DBHGld4XESTGscisU6J4WgkJsmKEOdQqxKWRYsW8d5773H48GF27drFokWLWL9+Pddffz3nn38+gwcP5sc//jFbt26lqKiI//qv/2LVqlVce+21deeYMWMGTz75ZN3Pd999Nxs2bODw4cN88MEHzJ8/H4PBwIIFC9rtIoUQ3dNYl519wcg5f93jkRiuFF1qLUR31aqCJ2VlZdx4440UFxfjcrkYNWoUK1eu5PLLLwdg+fLlLFy4kLlz5xIIBBg8eDAvvPACV111Vd05ioqKqKioqPv52LFjLFiwgMrKSjweD1OnTmXLli14PJ52ukQhRHfWEWt0NF1vsOdRMJHkUDjKiWgck6JwWZYMPwtxLsluzUKILm19lY/Jbgdmte2pS2Uswaf+EElqJ9OqioJO/WTIblDpl2Yh12I625CFECfJbs1CiB5jksvBpuoA01vY45HQdHYFwlTFEyjULk3OMBm4OCMdo+wJJETKkoRFCNGlWQ0qLqOBDVV+prgdDZIOTdf5PBThWKS2hotRgQscNi50dq1doYXo6SRhEUJ0eeNcdvyJJO9VN15wcrDNwkyZcyJElyYJixCiW0g3Glo8LCSE6HpkEwwhhBBCpDxJWIQQQgiR8iRhEUIIIUTKk4RFCCGEEClPEhYhhBBCpDxJWIQQQgiR8iRhEUIIIUTKk4RFCCGEEClPEhYhhBBCpDxJWIQQQgiR8iRhEUIIIUTKk4RFCCGEEClPEhYhhBBCpDxJWIQQQgiR8oydHUB70HUdAJ/P18mRCCGEEKKlvvre/up7/Ey6RcLi9/sBKCgo6ORIhBBCCNFafr8fl8t1xmMUvSVpTYrTNI0TJ06Qnp6Ooij4fD4KCgo4evQoTqezs8MTjZA2Sn3SRqlP2ii1Sfs0T9d1/H4/eXl5qOqZZ6l0ix4WVVXJz89vcL/T6ZT/JClO2ij1SRulPmmj1Cbtc2bN9ax8RSbdCiGEECLlScIihBBCiJTXLRMWi8XC4sWLsVgsnR2KaIK0UeqTNkp90kapTdqnfXWLSbdCCCGE6N66ZQ+LEEIIIboXSViEEEIIkfIkYRFCCCFEypOERQghhBApr9slLJ9//jnz5s0jOzsbp9PJ1KlTWbduXb1jFEVpcFuyZEknRdzztKSNvlJZWUl+fj6KolBTU3NuA+3BmmujyspKrrjiCvLy8rBYLBQUFHDbbbfJfl7nSHPt88knn7BgwQIKCgpIS0tj2LBhPPHEE50Ycc/Tks+5n/3sZ4wbNw6LxcKYMWM6J9AupNslLHPmzCGRSLB27Vp27NjB6NGjmTNnDiUlJfWOe+655yguLq67XXvttZ0TcA/U0jYCuPnmmxk1alQnRNmzNddGqqoyb9483njjDT7//HOef/55Vq9ezS233NLJkfcMzbXPjh07yMnJ4a9//St79uzh/vvvZ9GiRTz55JOdHHnP0dLPue9///t861vf6qQouxi9GykvL9cB/b333qu7z+fz6YC+atWquvsAfenSpZ0QoWhpG+m6rv/xj3/Up02bpq9Zs0YH9Orq6nMcbc/UmjY63RNPPKHn5+efixB7tLa2z09+8hP9sssuOxch9nitbaPFixfro0ePPocRdk3dqoclKyuLoUOH8uKLLxIMBkkkEjzzzDPk5OQwbty4esf+9Kc/JTs7m4kTJ/LnP/+5RVtbi7PX0jbau3cvv/71r3nxxReb3RBLtK/WvI++cuLECV577TWmTZt2jqPtedrSPgBer5fMzMxzGGnP1dY2Es3o7IypvR09elQfN26criiKbjAY9N69e+s7d+6sd8yvf/1rfdOmTfrOnTv1Rx99VLdYLPoTTzzRSRH3PM21USQS0UeNGqX/5S9/0XVd19etWyc9LOdYS95Huq7r3/72t/W0tDQd0OfOnauHw+FOiLbnaWn7fOX999/XjUajvnLlynMYZc/WmjaSHpaW6RJ/ui5cuLDRibKn3/bt24eu6/z0pz8lJyeHjRs3snXrVq699lrmzp1LcXFx3fl+9atfMWXKFC688ELuu+8+7r33Xh577LFOvMKurz3baNGiRQwbNozvfve7nXxV3Ut7v48Afve737Fz505ef/11ioqKuOuuuzrp6rq+jmgfgN27dzNv3jwWL17MrFmzOuHKuo+OaiPRMl2iNH95eTmVlZVnPGbgwIFs3LiRWbNmUV1dXW8r7yFDhnDzzTezcOHCRp/79ttvM2fOHCKRiOz50Ebt2UZjxoxh165dKIoCgK7raJqGwWDg/vvv56GHHurQa+muOvp9tGnTJi6++GJOnDhB79692zX2nqAj2mfv3r1cdtll/OAHP+A3v/lNh8XeU3TUe+jBBx9k2bJlfPzxxx0Rdrdh7OwAWsLj8eDxeJo9LhQKATSY86CqKpqmNfm8jz/+mIyMDElWzkJ7ttGrr75KOByue2zbtm18//vfZ+PGjQwaNKgdo+5ZOvp99NVj0Wj0LKLsudq7ffbs2cP06dO56aabJFlpJx39HhJn1iUSlpYqLCwkIyODm266iQceeIC0tDT+9Kc/cejQIa6++moA3nzzTUpLS5k0aRJWq5VVq1bx8MMPc/fdd3dy9D1DS9ro60lJRUUFAMOGDcPtdp/rkHuclrTR8uXLKS0tZcKECTgcDvbs2cM999zDlClT6N+/f+deQDfXkvbZvXs306dPZ/bs2dx11111S2kNBkOLvnDF2WlJGwEcPHiQQCBASUkJ4XC4rodl+PDhmM3mToo+hXXe9JmOsW3bNn3WrFl6Zmamnp6erk+aNElfvnx53eMrVqzQx4wZozscDt1ut+ujR4/Wn376aT2ZTHZi1D1Lc230dTLp9txrro3Wrl2rFxYW6i6XS7darfqQIUP0++67T9roHGmufRYvXqwDDW79+vXrvKB7mJZ8zk2bNq3Rdjp06FDnBJ3iusQcFiGEEEL0bF1ilZAQQgghejZJWIQQQgiR8iRhEUIIIUTKk4RFCCGEEClPEhYhhBBCpDxJWIQQQgiR8iRhEUIIIUTKk4RFCCGEEClPEhYhhBBCpDxJWIQQQgiR8iRhEUIIIUTKk4RFCCGEECnv/wNBzpd4Fs8tAAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "and here is the histogram of HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "minUnitUse, maxUnitUse = 0.75, 1.25\n",
    "print(\"let's visualize over-used and underused units, <\",minUnitUse,\"or >\",maxUnitUse)\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < minUnitUse:\n",
    "        plotPoly(unitGeom[u],0.2)\n",
    "        plotCenter(\"u\",unitCP[u])\n",
    "    if unitUse[u] > maxUnitUse:\n",
    "        plotPoly(unitGeom[u], 1.5)\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"and here is the histogram of HD pops\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist],bins = [0, 0.6*aDP, 0.7*aDP, 0.85*aDP, 0.9*aDP, 0.95*aDP,\n",
    "         0.98*aDP, aDP, 1.02*aDP, 1.05*aDP, 1.1*aDP, 1.15*aDP, 1.3*aDP, 1.5*aDP, 2.0*aDP])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "9bc31b5a-992d-4a38-b9fe-3470b55e1e2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "HDvPop = [0. for t in range(nHDs)]\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"RedoOpt3ContigButOffPopUnit.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "7b9b68ef-6ae9-4d80-895d-41a86f48a55f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hi\n"
     ]
    }
   ],
   "source": [
    "print(\"hi\")  #see MN for code to boost any under-used CCBs via border linking strategy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f6150cac-2249-415b-a364-edf55dc441ea",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "114705bb-9640-45f1-9f25-030030efaa63",
   "metadata": {},
   "outputs": [],
   "source": [
    "#below here -- working on tightening use distro while squaring up pop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "5d7d8519-eb3d-4345-9ac6-ab888e61c348",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "before patching, make another copy of the current HD lists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pre-patch avg use and its sd are 1.00029 0.11976\n"
     ]
    }
   ],
   "source": [
    "print(\"before patching, make another copy of the current HD lists\")\n",
    "latestHDlist = [HDunitList[t].copy() for t in range(nHDs)]   #More safekeeping\n",
    "latestHDpop, latestUnitUse = [0. for t in range(nHDs)], [0. for u in range(nUnits)]\n",
    "for t in popHDlist:\n",
    "    for u in latestHDlist[t]:\n",
    "        latestHDpop[t] += unitPop[u]\n",
    "        latestUnitUse[u] += nDistricts * HDweight[t]\n",
    "latestUnitWeights, latestUnitDistro = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if latestUnitUse[u] > 0.1:\n",
    "        latestUnitDistro.append(latestUnitUse[u])\n",
    "        latestUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(latestUnitDistro, weights=latestUnitWeights, bins = 20, histtype = \"step\")\n",
    "plt.show()\n",
    "latestAvg, latestSD = getWeightedAvgAndSD(latestUnitDistro, latestUnitWeights)\n",
    "print(\"pre-patch avg use and its sd are\",r5(latestAvg),r5(latestSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "id": "b1971853-bda7-49a4-9f25-1bdfd5e75aa2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on avg unit-to-HDcp dist for HD 0\n",
      "working on avg unit-to-HDcp dist for HD 800\n",
      "working on avg unit-to-HDcp dist for HD 1602\n",
      "working on avg unit-to-HDcp dist for HD 2402\n",
      "working on avg unit-to-HDcp dist for HD 3203\n",
      "working on avg unit-to-HDcp dist for HD 4004\n",
      "working on avg unit-to-HDcp dist for HD 4806\n",
      "working on avg unit-to-HDcp dist for HD 5606\n",
      "working on avg unit-to-HDcp dist for HD 6406\n",
      "working on avg unit-to-HDcp dist for HD 7206\n",
      "working on avg unit-to-HDcp dist for HD 8006\n",
      "working on avg unit-to-HDcp dist for HD 8807\n"
     ]
    }
   ],
   "source": [
    "avgDist = [0. for t in range(nHDs)]  #about 6sec per 1000 HDs\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%800 == 0:\n",
    "        print(\"working on avg unit-to-HDcp dist for HD\",t)\n",
    "    avgDist[t] =  np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "f5b99900-614a-47df-b7de-5d59fffd6d3a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "before patching, make another copy of the current HD lists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pre-patch avg use and its sd are 1.00029 0.11976\n"
     ]
    }
   ],
   "source": [
    "#Restart - may want to comment out first line\n",
    "HDunitList = [latestHDlist[t].copy() for t in range(nHDs)]\n",
    "unitUse = [0. for u in range(nUnits) ]\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t] ]) for t in range(nHDs) ]\n",
    "\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, weights = unitPop,bins = 50)\n",
    "plt.show()\n",
    "plt.hist([HDvPop[t] for t in popHDlist], bins=50)\n",
    "plt.show()\n",
    "print(\"before patching, make another copy of the current HD lists\")\n",
    "latestHDlist = [HDunitList[t].copy() for t in range(nHDs)]   #More safekeeping\n",
    "latestHDpop, latestUnitUse = [0. for t in range(nHDs)], [0. for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if latestUnitUse[u] > 0.1:\n",
    "        latestUnitDistro.append(latestUnitUse[u])\n",
    "        latestUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(latestUnitDistro, weights=latestUnitWeights, bins = 20, histtype = \"step\")\n",
    "plt.show()\n",
    "latestAvg, latestSD = getWeightedAvgAndSD(latestUnitDistro, latestUnitWeights)\n",
    "print(\"pre-patch avg use and its sd are\",r5(latestAvg),r5(latestSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "27b51cd0-8bb6-4b16-bb79-37498e59ce5c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will now square up the 790 HDs with pop < 778763 to within 1089\n",
      "working on squaring up HD 12 time is now 0\n",
      "working on squaring up HD 731 time is now 101\n",
      "working on squaring up HD 1122 time is now 190\n",
      "working on squaring up HD 2153 time is now 265\n",
      "working on squaring up HD 3046 time is now 344\n",
      "working on squaring up HD 3630 time is now 424\n",
      "working on squaring up HD 4492 time is now 518\n",
      "working on squaring up HD 6585 time is now 593\n",
      "We have addressed underpop in a total of 790 HDs\n",
      "Here is a scatterplot of original (x) to final pop (y)\n"
     ]
    },
    {
     "data": {
      "image/png": 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y2G3exxXoEBuJl2/vrfmsMWaEiIhIN4E4lGJEchZD9UbOe+KpgaN9GY7bcjqi7vwFTHq7bePMlmrPNWKiDk00TUIIfXJRAcBqtSIhIQF1dXWIj4/X+3SIiIIWl9lQh5prtnl7T9w9P6OwOxLjzI5zGNAlEdfN+VjyshuWeDM+e+oGn4JfOZ/fDIQ8YCBERKQdLrxqPO7eEzmryyfFReLk2UZZx31n/CCfptfL+fxmjRARERmCpxXNSR+u3hO5q8vLDYIAbWcJskaIiIiIJFNjdXlvuPo8ERERGZK/szWWeLOmswQZCBEREZFk/s7WPHdrT01rwxgIERERkWTeGjj64tH8ruwjREQUqjz1ZCEyipZ9htSWmRLnl/16wlljREQGwD46FEiG9UrHQ9dm4R+fVqq6Xz2WUmFGiIhIZ/aeLK1n4lTX1eNhHTrttsQsFbnSZBNY84W0+zIpLlLSdslxUbospcKMEBGRjjz1ZBFoXtLg+Q/24cYeFs2bCzJLRe5InUI/o7A7ktqZ8ei7e7xue1tOhi4NNJkRIiLSkbcPFAGgqq4e2ypPandSMHaWKtQZIUsndQp9SnszLPHShrtu7GHx5ZQUY0aIiEhHUj9QtOy0a+QsVagzSpZOai2PfVkOT6vZA83XoMewGMCMEBGRruR8oGjFqFmqUGekLJ23KfQm/BzchIeZMKOwh8clOeyr2euBgRARkY7kfKBoxYhZqlDnLUsHNGfptBomazmFvvW9a/+7PbgpLq/CH4r2anJeSjAQIiLSkZwPFK0YMUulJy1qcrwdw4hZumG90rHg7v6wJDjfB0lxUZh/Z38M65WO4vIqTFy2C7Xn3C+8ah9q1WtGImuEiIh0Zv9AaV37YdFphpa3mg7TT+emV02HlrSoyZFyDKNm6Yb1SofNJvDM++WOVeZrzl7AC+v2AYDjv560DOJar3SvBQZCREQGMKxXOm7sYcG2ypM4cbreUWSqR92EPUv18LJdMAFOwZBeWSo92GtyWgeD9pqcBXf39zkYknoMo2bpisurMOnt3S7P/7dv75K1L72GWjk0RkRkEOFhJuRdnozbcjoi7/JkXQMNd8MeloRoVQIAo9OiJkfOMYxYSybl/OXQa6iVGSEiInLJSFkqrcmpyVE6nCP3GEbL0kltqiiFntPnGQgREZFb9ixVqNGiJkfuMYxWS6bWUJYJ+g61MhAiIiJqRYuaHCXHMFKWTs61t85i2SXGRmLW7b11HWplIERERNSKFjPnlB7DKFk6qec/o7A7Xlj3tVMWKyE6Ajf2SMM1XS9BQkwUmmxCt4yQSQjBpYTdsFqtSEhIQF1dHeLj4/U+HSIi0pB9RhfguiZHzVlj/jyGP0k9/yabcGSxDv14Du9sO4Jqq/9aEsj5/OasMSIiIhe0mDkX6LPzpJ6/PYtljgjDX0q/cQqCAH0X82VGyANmhIiIqGU2w181OVocw5/s519trcfJMw1IiouCJSHG6TqabAJDZm90O9PMPpS2edpQn69dzuc3a4SIiIg80KImxyh1P0qFh5lQd/4CXine77ZDthYtCZTg0BgRERH5xF4r1DrQaTnkZdRlQhgIERERkWJSO2QnxURJ2l9KnFm1c5OCgRAREREpJnXI6+tqq6T92TQuXWYgRERERIpJHcracfikpO22VkrbTi0MhIiIiEgxqR2ma881StpOKFqyVTkGQkRERKTYqbMX4Gm2uwmAJd6Mr6tPS9pfh5hIdU5MIgZCREREpEhxeRUmvb0LNi9JnDEDL8Xp+ouS9pnSTttiafYRIiIiItk8zRazCzMB88b0Q6O3SKmFIyfP+35yMjAjREQU5JpsAmUVNXh/z1GUVdSgScaHEpErTTaBpZ9VepwtBgA2ASTGmWWtVP/OtsOa3qPMCBERBbHi8io8/8E+t91+ieRydU95cuJ0PYb3SofJBEiZGV9tbdC0uzQzQkREQUpKt18iOdzdU56kto/GzsOnJAVBdlp2l2YgREQUhKR2++UwGUklpSaoJROas48Ds5JkBzZadpfm0BgRURAy6gKXpIwWq9N7O4a3e6ol+0/NvKUHwsNMsmqEnHagAQZCRERByKgLXJJ8WtR5STmGnHvF0upnB3RJRDtzOM40NEn6+R/PNMg4e99waIyIKAhJ/QYu+5s6aUqLOi+px5B6r8wo7I7N04Y6gqDi8ipcN+djyUGQnGOpgYEQEVEQGpiVhPSEaLcjDC3rN0gf3toaaFHnJecY3u4poLkrdLf0eMfflRRXJ8VFaXpfcmiMiCgIhYeZMPOWHnh42S6YAKcPutb1G6Q9KUNRWtR5yT2Gu3vKrvZ8I+56YyvSE6Ixo7AHXlgnvbjabkROhqb3JTNCRERBalivdCy4uz8sCc7DDJaEaCy4uz/7COlE6lCUFnVeco8xrFc6Hro2CyYvcUp1XT1++7a8TJDdjT0ssn/GF8wIEREFsWG90nFjD4vfZxyRNN6GokxoHoq6sYdFkzovuccoLq/C659Wes3yKB2s02O4VlZGKDMzEyaTqc2fSZMmAQCqq6sxduxYWCwWxMXFoX///li1apXj5z/55BOXP28ymbB9+3bHdl9++SV+8YtfIDo6Gp07d8Yrr7zS5lxWrlyJbt26ITo6Gr1798b69eudnhdC4Nlnn0V6ejpiYmKQn5+PgwcPynpxiIiCQXiYCXmXJ+O2nI7IuzyZQZCO5AxFaVHnJecYcvsIKaHHcK2sQGj79u2oqqpy/CkpKQEA3HHHHQCAe+65BwcOHMCaNWuwd+9e3H777Rg5ciR2794NABg8eLDTz1dVVWHcuHHIysrCVVddBQCwWq246aab0KVLF+zcuRNz5szBc889h9dff91xHp9//jnGjBmDBx98ELt378aIESMwYsQIlJeXO7Z55ZVX8Ne//hULFy7E1q1bERcXh4KCAtTXc6ooEQUerhemDX+/znKGoux1XkDbtjpq1XnJOYacPkKBxCSEnKbXzqZMmYK1a9fi4MGDMJlMaNeuHRYsWICxY8c6tklOTsbs2bMxbty4Nj/f2NiIjh074pFHHsGMGTMAAAsWLMDTTz+N6upqREVFAQCeeuopFBUVYf/+/QCAUaNG4ezZs1i7dq1jX4MGDUJOTg4WLlwIIQQyMjLw2GOP4fHHHwcA1NXVIS0tDUuXLsXo0aMlXZ/VakVCQgLq6uoQHx/v/QeIiPyA64VpQ4vXuayiBmMWbfG63TvjBzkKoI3SR+j9PUcxefkeVY7nTnpCNDZPG+pzVkjO57fiGqELFy5g2bJlmDp1Kkw/VU0NHjwY7777LgoLC9GhQwesWLEC9fX1uP76613uY82aNaipqcH999/veKysrAzXXnutIwgCgIKCAsyePRunTp1CYmIiysrKMHXqVKd9FRQUoKioCABQWVmJ6upq5OfnO55PSEhAbm4uysrK3AZCDQ0NaGj4uYmT1WqV9ZoQEanNXljb+hurvbCWRc/q0Op1tg9FVdfVuxxiMqG5mL3lcJcWdV5SjiG3FsmE5qnwNWcvSP4ZPbqdK541VlRUhNraWtx3332Ox1asWIHGxkYkJyfDbDZjwoQJeO+995Cdne1yH4sXL0ZBQQE6derkeKy6uhppaWlO29n/Xl1d7XGbls+3/DlX27gya9YsJCQkOP507tzZ00tARAHO6MNNXC9MG1q+zkqHu9Ss83J333s7hpQ+Qq2v5bacDNnnd/TUOdk/4wvFGaHFixdj+PDhyMj4+SJnzJiB2tpalJaWIiUlBUVFRRg5ciQ2bdqE3r17O/38999/j48++ggrVqxQfvYqmz59ulOmyWq1MhgiClKBMNzE9cK0ofR1Vrr+l72tQev7r/WyFP7gy33vqTdVa/ZrSYiJwpufHZJ3jl9V4X+u0u6zV1EgdPjwYZSWlmL16tWOxyoqKjBv3jyUl5ejZ8+eAIC+ffti06ZNmD9/PhYuXOi0jyVLliA5ORm33nqr0+MWiwXHjx93esz+d4vF4nGbls/bH0tPT3faJicnx+11mc1mmM3arXhLRPoIlOEmrhemDamv32ff/uAIek6dbcAL675WHEjr0dZAjfvebRAXb8aYgZciMyXO6VqabAJJcVE4KWN4rFrjgmxFgdCSJUuQmpqKwsJCx2PnzjWnssLCnEfbwsPDYbPZnB4TQmDJkiW45557EBkZ6fRcXl4enn76aTQ2NjqeKykpwZVXXonExETHNhs2bMCUKVMcP1dSUoK8vDwAQFZWFiwWCzZs2OAIfKxWK7Zu3YqHH35YySUTUZCQ08dF72nmXC/MM7VWZJf6+s37uMLj83IDaftQlBbUvO/lBHHhYSaMyMmQlRVKiInyvpGKZNcI2Ww2LFmyBPfeey8iIn6Oo7p164bs7GxMmDAB27ZtQ0VFBebOnYuSkhKMGDHCaR8bN25EZWWly5lkd955J6KiovDggw/iq6++wrvvvovXXnvNachq8uTJKC4uxty5c7F//34899xz2LFjB373u98BAEwmE6ZMmYIXX3zRMZX/nnvuQUZGRptzIaLQImcYRG9cL8y94vIqDJm9EWMWbcHk5XswZtEWDJm9UdEipHJqXzwxct2W2ve9nJoluZ2iOyfFyNreV7IDodLSUhw5cgQPPPCA0+ORkZFYv349LrnkEtxyyy3o06cP/vnPf+Ktt97CzTff7LTt4sWLMXjwYHTr1q3N/hMSEvDvf/8blZWVGDBgAB577DE8++yzeOihhxzbDB48GG+//TZef/119O3bF//v//0/FBUVoVevXo5tnnzySTzyyCN46KGHcPXVV+PMmTMoLi5GdHRofnMiomaBNNykRR+ZQKT2iuyeXme5jBRIt6TnfT8wKwntzNLDjWMaD4351Eco2LGPEFHwUdLHRW+BUNitlSabwJDZG91mN+zTz5X0onH1Oiv12ugc3JbT0ef9qEXv+/6598uxtOywpG3joyOw+9mbfArwNekjRIFNrbF1okCjpI+L3rhe2M/8OZOu9et88PgZzPv4W0XnabS6Lb3v+85JsZK3tdZf1HQmJAOhEMRvlxTKPE0BNvJwk5aFtUZWus99L7iWlA7xtHydyypqZAdCRgykAf3v++9l9gbScmhacUNFCkxqj60TBSL7FGBLgvO3dktCtGGmzlNbTTaB9/YclbStGhkZuUXURg6kAf3u+yabwPtfHJP1M1pm1JgRCiGBNG2YyN843BR4tlWexMmzjV63S46LUiUjI6eBIKBNQ0Rf6XHfb/muRtL7ZhcfHaFpRo2BUAhhl1oiZxxuCixSh0tuy8lQ7YPdXQPB9IRozCjsgcS4qIALpP1x37uqOwWAeRsP4h//+U7Wvvpf2kHT15GBUAgJpGnDREStSR0ukdu3xhtmDz1zVXfaITYSFy7acO5Ck+z97TpSiyab0Oz1ZSAUQtillogCmbeZT4D/Gkwye+iau2U7as9JHwprTetZYyyWDiHsUktEgUxK48MZhd2ZqdGIp7pTX3HWGPkFu9QSUSBosgmUVdTg/T1HUVZR47RchbuZT3YvrPuas1/9pPX7suW7GlWaT7qi5cgEO0t7EKydpdlHiIiMSuq/T+u/rMJv397V5uftX+NCrQ2Cv5vkuqwDiolE7XnlQ2DumMNN2PfCcM06SzMQ8iBYAyGAnaWJQpHRf+/d1Zu0Dm78ucxGIPL3l1t374u/dEtrh+JHr/NpH1xig7xi4R9RaDF6JlhOnzO2AvmZuyDF3iTX18yYP+uA3BmQmajh0VgjREQU9AKho7yc4CaYW4F4qo9yta2n4BFoDh497cMbb++LP+R3S9P0eMwIEREFsUDpKC8nuAnWViBys3ZaZMakvi9q1gvtOHIKv+yuXTDEjBARURCT82GpJznBTTC2AlGStdMiMyb1ffnbmH5IiotUfJyWjp06r8p+pGIgREQUxAJlGElOcBNsrUCUDnFpkRmT+r6EmUyy1hPzJKNDjCr7kYqBEBFREAuUYSS5wY1eK6n7g9KsnRaZManvy49nGxQfo7XBl6eoti8pWCNERBTEvC1LYZ9qboRhJHcLnLpb1T1Y1gBTmrWzBykPL9sFE+D0/roKHpW2T5DyvpRV1Ei6Bm8iwoBBGs/0YyBERBTE5H5Y6k1ucBMMrUB8ydpJDR6Vtk+wB08NF2149X/6AibgxzMNSGlnBgTw49kGlFXUIKdzB4SZAB8mqAEAbsvpqPm9yIaKHgRzQ0UiCi1G7yMUyi5ctKHbjA89BhFhJmD/C8MRFeG6osVTtkdqo8rW3N0zt/ZNx5ovqpweT4qLVKVG6JsX3V+jHGyoSEREToJlGMmofOnavfPwKa+ZFJto3s5d9stdZkxp+wR3wVNVXT3+8Wllm32pVSg956Ov8XRhT1X2JRUDISKiEBEMw0hG5Gu2zZ8z+5T0GtKjm7Tdok2H0K9zEm7uo12WkrPGiIiIFFKja7c/Z/YpCbL06Cbd0hP/7wufumHLxUCIiIhIAbWWuPDnNHglQZbePaXOXmjCFpVmoUnBQIiIiEgBtbp2t+zV424/t/ZNV1TPpSTI0runFACUffejZsdiIERERKSAmrU9w3ql46Frs9w+//qnlYoWx1XShdtb8KQN7Y7OQIiIKETIWdmcvFOztqfJJrDmC8+BjtKV5OV24fYUPLmjdtiiZVE/Z40REYUA9hFSn5pdu/29krzc9gnuGjW66yNkSYjG6Ks7439LD8o+t9YSYyMx6DIGQkREpBJ3PWHsM5sCbW0uo/DUtRs//X1GobSu3dV10lZc96WQWW77BE/B05PDurd5HACWb/+vzzPOZt3eW9P+VhwaC0JMfxORnVozm8g1d8NOdi+s2+e1tqe4vAovrPta0vG0LmS2B0+35XRE3uXJjgDF1ePeir6l+Pud/TQPypkRCjJMfxNRS/4ectGCL12btTCsVzpsNoHfvr27zXPesm7usnWtGWlxXE9u7GHB//TviP+366jsn02MjUSBDp9TDISCCNPfRNSaP7sWayEQvtw12YTbjI6nZSzkdnA20uK4rrh6r+Q4da5Rl4CcQ2NBgulvInLFn12L/U2Nrs1aUNpPSGoH56S4SM2+yCotrXD3Xsn1xqYKn35eCWaEgkQwpL+JSH1qzmzSktLFQvWgNOsm9edm/KqnJkGQ0uybmmuTbdz/Ay5ctKmyAr1UzAgFiUBPfxORdHK+tStpqGcEanVt1oLSrJvUn7PEq5+ta30Prf9SefZNzbXJBID/Kzukyr6kYkYoSARy+puIpFPyrd1dTxiLwWptWgqkL3dKs256Zetc3UNhprbT/wFp2Te134NPD/6IB39xmar79ISBUIBqPYtiQJfEgEx/E5F0vkyIkNtQT2+B9OXOUz8hT1k3pT/nC3f3kKdSIG+lFWq/B7uPnEKTTWh2bzIQMgg500PdfSO8tW86Xv+0UrNfKCLSjho1M3Ib6ukp0GqblGbdtMzW+VrL4y7z4+29kstaf1HTelYGQgYgJ9Xt6Rvh659W4qFrs1y2Pjdq+puIpAm1CRF6ZEt8pTTrplW2ztdaHneZH28dtpXQcsiTgZDO5KS6pXwjXPNFFf7zxC+x8/CpgEh/E5E0gVQzo5ZArG1SmnXTIlun9N6Qkn2zv1fPrfkK1dYGhWf4My2HPBkI6UhuqlvqN8Kdh08FxTdCIvpZINXMqCnQapuMTMm9IT/75vv7EmGCpkOeDIR0JDfVHYrfCImoWaDVzKgpkGqbjExKLU+YyblwWmr2TepSIVKYNA5yGQjpSG5gE6rfCImMRK91rwKxZoaMRco9NG9MPyTGmdvc357uezUbKgJAY5NgsXSokBvYhPI3QiIj8Pe6V96CrECsmSFjUXIPebvv1WyoaKflyIZJCMHFp9ywWq1ISEhAXV0d4uPjVd9/k01gyOyNXgObzdOGOv4xtKcfAdfRPBdWJfIPd6l/tX735ARZRl+NnYyv5T2UEmcGTMCPZxra3E+e7nsB4IFrMhEbFYF5H3+r6vm9M36QTxkhOZ/fDIQ88HcgBCgLbNT4Vsp/SImks39pcfet19WXFjn8HWQRuePp8+TGHhaP970/ffPicJ/WG5Pz+c2hMZ0pSVP6OovC3+l9okDj7YuBP3v4BNLiohRcvLVvmZJ/hS5BEABNZz8zEDIAJYGN0lkUvrToJwpGUr4Y+HPG5paKmpBqlEjuaZmplxKAL/m80i/HloINFUOQFtND+c2TyJnULwb+mrFZXF6Fp1btlbQt22IEN60z9VKynLXnGlU/rlRazn5WPgBHAUdOep8o2Hn7YgA0fzFosgnHjE13Xw9MaP7QkjNj0x6E1Z6X9mHDthjBy34vtP732R6QF5dXqX5MqYF1bFS46sf2Jj46QtPZzwyEQggbMhL9TM4XA3v/FaBt31wlPXzk9F1REmQZTZNNoKyiBu/vOYqyiho0eVrqPMTICcjVJDWwNukwOPDrfh01HZXg0FgIYUNGop/J/WKgZg8fuX1XArlRIidneKbXYrpSukwnx0Wh5uwF1Y4p1dmGi5oej4FQCGFDRqKfKflioNa6V1KDsA4xkXj5N739GjD4s0CXkzO80ytT37LLtDt9Oydg4/4fVD2uFKVfn0CTTWgW/DMQCiFs0U/0M6VfDNSY2CA1CJt/V39ck53i07E88We2hpMzmnkLNA/9eFbSfvyRqR/WKx35PVJRsu+Ey+f1CIIAoPZ8o6azJFkjFGLs6X1LgvMvlSUhmt/OKKSoXfcjh9Ti60GX+e+DwN8Fupyc0fwaD5m9EWMWbcHk5XswZtEWDJm90fHaNtkE3tl2xOt+/FUjtv7LY26DIDs9aoQATp8nP1MrvU8U6PRau0uL7KzSRTLVytaE+uQMKcOCCTFRqLY2eN3X6KsvVf3f5yabwDPvl3vdTq+1J7SsVWUgFKK06FtEFAj0+mLgzyDM10Uy1SjQDeXJGVIDzScLrpS0v8yUWDVPD0Bzxu7kWfX6BLUO6H3R3hyuaa0qAyEiCnl6fTHwRxAmJRPRcNEmaV++ZGtCeXKG1EDzpMQZWf4IFtXOxFkSojH66s7439KDPu8rtX20piMUrBEiItKRPQi7Lacj8i5P9nk4TEpPmpR2Zkn78+UDWM8aLF/52vdIapCR1M6seqNOqdQMrmYUdsfmaUPRNbWdavvUEjNCRERBQmomAgKaZGv0qsHyhRoz6aQGGZb4aN1m8tozdt76WXWIiUDd+Yse75P7rskCALyw7mtVzu3EmQZNp88zI0REFCSkZiJ+PNugWbZmWK90bJ42FO+MH4TXRufgnfGDsHnaUEdQYaSu02rNpJOzJIteM3ntGTtP7/AN3S7B/ddkOeqaWmp5nwDA0s8qVVup/nT9RU1nEzIjREQUJOQUKOddnqxZtsZdDZaRuk6rOZNO7qxAoxXsm0zNs8U27P8BG/b/gA6xkQCcF2G13ycAMGT2RtWCIDstZxOahNBrcpzxWa1WJCQkoK6uDvHx8XqfDhGRR002gSGzN3od8to8bajTVHo9Wmm4K+q2H1nrvmZlFTUYs2iL1+3eGT9IcmG9kQI9T+z3QMm+arz52aE2z9vfkyn5VyAzJdZxn5Tsq3b5HqpBzuvsipzPb2aEiIiChJL+RHrMmDNi12l/9D0KlJ5t4WEmDMxKwtQVe1w+b39Plm8/4gii5SwcLJcl3szV54mISJlA6B5vxK7T/up7pOasQH+S+57IXThYjjED1W8g6QkzQkREQcbomQgjdp0O5b5HgPz3xJ/vTWZKnN/27YqsjFBmZiZMJlObP5MmTQIAVFdXY+zYsbBYLIiLi0P//v2xatWqNvtZt24dcnNzERMTg8TERIwYMcLpeVfHWL58udM2n3zyCfr37w+z2Yzs7GwsXbq0zXHmz5+PzMxMREdHIzc3F9u2bZNzuUREAcvImQgjdp0O5L5HapD7nvjzvZHa50otsgKh7du3o6qqyvGnpKQEAHDHHXcAAO655x4cOHAAa9aswd69e3H77bdj5MiR2L17t2Mfq1atwtixY3H//ffjiy++wGeffYY777yzzbGWLFnidKyWwVJlZSUKCwvxy1/+Env27MGUKVMwbtw4fPTRR45t3n33XUydOhUzZ87Erl270LdvXxQUFODECc8LzBERkX/JmV6upUAYVvQXue/JgC6JSIqL9M/JaDyFy6dZY1OmTMHatWtx8OBBmEwmtGvXDgsWLMDYsWMd2yQnJ2P27NkYN24cLl68iMzMTDz//PN48MEH3Z+UyYT33nuvTabIbtq0aVi3bh3Ky39eMG706NGora1FcXExACA3NxdXX3015s2bBwCw2Wzo3LkzHnnkETz11FOSro+zxoiI/MM+awxwXdStZ+Ch10w6vbl7T+wW/vSeuJoNp6b7BnfBc7f28mkfcj6/FRdLX7hwAcuWLcMDDzwAk6n5Bhk8eDDeffddnDx5EjabDcuXL0d9fT2uv/56AMCuXbtw9OhRhIWFoV+/fkhPT8fw4cOdAhq7SZMmISUlBQMHDsSbb76JlvFaWVkZ8vPznbYvKChAWVmZ49x27tzptE1YWBjy8/Md27jS0NAAq9Xq9IeIiNRn5OyLkYcV/cn+niTEts302HsJrf/yGCa6aDqpptW7jmraWFNxsXRRURFqa2tx3333OR5bsWIFRo0aheTkZERERCA2NhbvvfcesrOzAQDfffcdAOC5557Dn//8Z2RmZmLu3Lm4/vrr8c033yApqTnl9sc//hFDhw5FbGws/v3vf+O3v/0tzpw5g9///vcAmmuR0tLSnM4nLS0NVqsV58+fx6lTp9DU1ORym/3797u9plmzZuH5559X+pIQEZEMRi/qNgI9slN159quSl93rhETf2rLIFU7cwTizOE4bm2QdXzrT52ltWrroDgQWrx4MYYPH46MjAzHYzNmzEBtbS1KS0uRkpKCoqIijBw5Eps2bULv3r1hszWvePz000/jN7/5DYDmWqBOnTph5cqVmDBhgmM/dv369cPZs2cxZ84cRyDkL9OnT8fUqVMdf7darejcubNfj0lEFMr06GMUKLRuyChl0V45eZozDRdxpuGionPRcsagokDo8OHDKC0txerVqx2PVVRUYN68eSgvL0fPnj0BAH379sWmTZswf/58LFy4EOnpzW9cjx49HD9nNptx2WWX4ciRI26Pl5ubixdeeAENDQ0wm82wWCw4fvy40zbHjx9HfHw8YmJiEB4ejvDwcJfbWCwWt8cxm80wm7WtViciotAiJcvjrvO2fd0zfwwf+rM3kFxazhxTFAgtWbIEqampKCwsdDx27tw5AM21OC2Fh4c7MkEDBgyA2WzGgQMHMGTIEABAY2MjDh06hC5durg93p49e5CYmOgIUvLy8rB+/XqnbUpKSpCXlwcAiIqKwoABA7BhwwZHwbXNZsOGDRvwu9/9TsklE5EHoVpcSqFNyX0vJcujV+dtLbMwXmk4c0x2IGSz2bBkyRLce++9iIj4+ce7deuG7OxsTJgwAa+++iqSk5NRVFSEkpISrF27FgAQHx+PiRMnYubMmejcuTO6dOmCOXPmAPh5Cv4HH3yA48ePY9CgQYiOjkZJSQleeuklPP74445jTZw4EfPmzcOTTz6JBx54ABs3bsSKFSuwbt06xzZTp07Fvffei6uuugoDBw7EX/7yF5w9exb333+/sleKiFwKlPWUiNSk5L6XmuWR0+VZzWFFLfs2eWPoobHS0lIcOXIEDzzwgNPjkZGRWL9+PZ566inccsstOHPmDLKzs/HWW2/h5ptvdmw3Z84cREREYOzYsTh//jxyc3OxceNGJCYmOvYzf/58PProoxBCIDs7G3/+858xfvx4xz6ysrKwbt06PProo3jttdfQqVMnvPHGGygoKHBsM2rUKPzwww949tlnUV1djZycHBQXF7cpoCYi5fRI3wc7ZteMT8l9LyfLo1fnbW/dtbV08uwFzY7F1ec9YB8hIvfsK527++bqaqVzvRk9yGB2zfiU3vdyVrcHIHlbNTJCLX8vDv14Dn8p/QaA5n0NnfzvqBz8ul9HxT/P1eeJyO/0St8rZfQgg9m1wKD0vpeT5flVnwzN1j1z9XvRISYCF21QPONLDSmxUZodi6vPE5EiRlw40x17kNH6A8weZBSXV+l0Zs2kTFt+/oN9mjaZI9eU3vdy1vLSat2z4vIql80Ra88rn/aulv3HT2t2LAZCRKSIERfOdCUQggw5WQbSl9L7Xu5aXmp13m6yCZRV1OD9PUdRVlHjuM+bbAJPrd4raR96+O+pc5odi0NjRKSIt8JKNdP3vgiEIbxAyq6FOqX3vT3L8/BP3Zldra/WOsvja+dtT8PBB6rPoNZFB2mj6JIUq9mxmBEiIkW0St/7KhCCjEDJrpFv972SLI/Sdc88DQdPXLYLr39aIWk/ejABGJuXqdnxmBEiIsXs/7C3/tZpMVARciAEGYGSXaNmvtz3WqyvJmU4+OyFJtWOp7aBmUmIitAuT8NAiIh8YvSFMwMhyFAybOKJ0dsEGI2S18uX+97f66sZaakMJYZ2T9X0eAyEiMhnRl44U+0gw1/Uyq4ZvU2A0fjyehn1vg/0WrLvNSyUBthQ0SM2VCQKHoESIPiSzXHXi8j+0+xF5CxYXy+pzRuNauygS/HCiN4+7YMNFYmIWjH6EJ6d0iyDXgt1Biqjv16+BMRShoMTYiMNO2vsSM1ZTY/HQIiIQoZRhzLUIKdNwMCsJMMHhP5m5LYKvmYvpQwHv3x7b+w+cgr/+LRS1XNXw38O1uDCRZtmBdOcPk9EFASk1oWU7KvGkNkbMWbRFkxevgdjFm3BkNkbde+urTWjtlVQqwu6lKn6Tw7rjoQYY+ZD/q/skGbHMuYrQEREskid/v/mZ4faPBaK65kZsa2C2sN13oaDt1WeRN15fZfScOfwSXaWJiLSRaBOPfdWFwIAYSbA1UoiRqiJ0Zo/2yq4u4e83Vv+GK7zNBxs5NllWnaWZiBERPSTQJlZ5kp4mAkzCrvjt2/vbvOcvU7E03JqRlhqREv+aqvg7h66tW861nxR5fHe0nq4zsidykddfalmx2KNEBERjL9CvTfF5VV4Yd3XLp+zJETjwWsyJe3HyFkCtam1sKmdu3uoqq4e//i00uu9pfVwnT0rZkTvbj+i2bGYESKikGf0qdSutBxmOfTjOfyl9Bu3Q2IzCnsgMS4Ki13UB7Vm5CyBP6jVVsHTPeRO63tL6y7oLbNiRmsoyBohIiINGXkqtSuuhl/cMQF4Yd0+/OeJXxp+qRG9qNFWQemyFq3vLa27oNuzYk+t3muovkJcfZ6ISENGnUrtirvhF3fsH7Q7D59SvGo6eefrvWH/ebWH66QY1isdO5+5EY/md0WHmEjV968EV58nItKQEadSu6Jk+MXuxOl63JbTUZX1zKgtX++Nlj+vRxf08DATJudfgd8N7eo4bkqcGY+t/ALHre5nIvpDe3M4V58nItJSIKxQD/i2qrj9gzZQlhoJNFLaF7hiv7dsNoH39xx1ej/0GIa1H/fCRRv+r+wQrrS0R7VV20xo/cUmNNmEZvckAyEdBGqfEqJgFSgr1CsZfnEVxAXzUiN68XQPuWPf7nxjE+5avNXxuJ4tG5psAlOW78LaL6t1K6BubIKm9XgMhDRmpD4lDMiU42sXfOy1GUYeNpI7/GKkIC4UuLuH3PUR6hAbiVPnGtsUKevV6bu4vAqPrfgCZy80aXZMd6rrzmt2LJMQwmiz5gzDarUiISEBdXV1iI+P93l/9iLH1i+4/Z8nLW96IwVkgYavXXAzcpDbZBMYMnuj5OEX3pf6kNJZOqWdGY+t2INqa4PLfdgzea/+T1/8eLbB7/eiu88nvcwo7I4Hf3GZ4p+X8/nNQMgDNQMh+z9g7sb37Tf95mlD/f6PrpECskDD1470Zr8HgbZDeALAo/ldkZkSZ7ggjpyVVdRgzKItsn5GjcDWVZAGwOPnkyf2+65DbKSq0+//d1QOft2vo+Kfl/P5zaExjRilT0kgNo4zCr52ZASBMIQXDPydGVRS7+XrkJm7bPboqzsrLsK333d//+RbVQOh1PZm1fblDQMhjRilT4lRArJAxNeOjIIzv/xLi+FvJdPtffnC5S6bXV1Xj/8tPSjrPGIiw3DnwEuR/1M37A+/rMKX31tl7cMbm6eF8VTGhooaMUqfEqMEZIGIrx0ZiX3m1205HZF3eTKDIJVoteacfbq93Het5Rcuqbxls+U632jDm58dQt35CwCA6UV7FezFs60yrs9XDIQ04u2mN6H5G4e/+5QYJSALRHztiIKblIDh+Q/2oUmFbIV9uj3QttO3FHK+cPnSf8qT5z/Yhy3f1eB0/UXV920TNtX36Q4DIY14uum1nOJqlIAsEPG1Iwpucoa/1eBuOQ0p5HzhkhM0Sf0Esr8WZRU1kvctR2KsdjVCDIQ0pMcaMq0ZJSALRHztKBQ12QTKKmrw/p6jKKuoUSUbYlR6DH8P65WOzdOG4p3xg/Da6Bz8a1wuLPFmVb9wSQ2a2pnDkRArb62xih9Oy9peqhQWSwcvIxQ5ctaJcnztKJSEWs8svYa/W3f6fu7Wnqp2OZe6/MeZhiYATXg0vysamwTmffyt131/WH5c8nnIkdpOu0CIfYQ8ULuhotEYuXGc0fG1o2AXij2zvDWs1Lrfm5pBqLv+U63Zr/E/T/wSA18q9TglXupSIkr8a1wurslOUfzz7CNEknC9IeX42lEwC9WeWUZac07t0QN7NvsP75Xj5NkLbrez1/5sl1AH5c8syo9nXHfc9gfWCBERkROti4aNxAi1nHZqt0gY1isdMwq7S9q27LsfVW2QKFdSbJRmx2JGiIiInIR6zywj1HL6iyUhRuKW+l7r/urT+MUVl2hyLAZCRETkhD2z9Bv+9nf9obfCaXuNUN7lyZKKpf3lv6fOaXYsBkJERCHG24et1A9L9sxSlxaz9KTWQV2dmQSTCdBrOlXnxFjNjsVAiIISZ3URuSblw9ZIRcOhwtNaYL4stOqKlDYgZRU1ugVBAHBFajvNjsVAiIJOqPU+oeCnVmAv58OWPbN8J/V903KWnv2cGi7a8OodfQEB/Hi2oc356V3/tf3wKVzXLVWTYzEQoqCi5bcqIi2oFdgr+bAN5qJhf5PzvsmZpedL3ZKnc2q9X/3rv7j6PJFsWi6YSKQFNVdCVzol3tMU7lBafkMOue+bFrP05J6TvU5ML3mXKW+mKBcDIQoaodz7hIKP2oG92h+2xeVVGDJ7I8Ys2oLJy/dgzKItGDJ7o6zgLBgped/8PUtPyTnZ68T0yv1drWEhPgMhChqh3vuEgovagb2aH7ZqZqqCjZL3zZ59UXOhVV/PCfi5Tqx1Zig5Lgp/v7M/HrgmU9H5SCGls7VaWCNEQYO9TyiYqB3Y+zIlvmXRb0qcGc+tCb3lN6RS8r75e5ae1HP68KcAtmUdmKc6scS4KLz52SFF5+RN2Xc/4pqu2gyPMRCioMHeJxRM1A7slX7Yuiqw9UStwt5ApfR98+csPann9M+yw/hn2WGX7RRcvZcDuiQizAT4pzRMuyCagRAFDfY+oWDij8Be7oetu1mYUoTqELQv75u/Zul5O6fWpM6y3Xn4lJ+CIGgaRDMQoqDC3iekNX817/RXYC/1w9ZTga0UoToE7ev75o+lPTydkyuthzgBuLxfquvOq3qedmEABl2mXSBkEkLP3pHGZrVakZCQgLq6OsTHx+t9OiQDO0uTFrRo3qlXg9CyihqMWbRF9s/ZMx6bpw0N6d85IzZ2lTvMCQCP5l+B5duPOP1Mh5hI3H9NFo6cPItVu46qfp59OrbHmkeu9Wkfcj6/GQh5wECIiNxxN2xk/+hXs3mnHoH9+3uOYvLyPbJ+xh/XHsiM+IXMfk4fllfhn2WHdT0Xd+4c2Akv3d7Xp33I+fzm0BgRkUxaLokA6LMSupKhrWAfgpYb2Oi1gr0nLc/JqIFQ0e5jeGFEH82CRgZCREQyabUkgp6kFP2mxZsxd2QOfjzTdq2qYGPEoS5fyC2g1tK5RpumvztsqEhEJFMoNO+0F9gCbScy2//+3K09cU12isvlN4JJMDaQlPL+6knL3x0GQkREMoVK8077LExLq87CloRov9YBGWkNs2Bew9DT+/tofledzqqZlr87HBojIpIplJp3ar0CvdGGoIJ9GNTd+wsAy7f/V9YMM7XERYVp+rvDjBARkUxShhWCqXmnpxXo1WTEIahQGQZt/f7quejqsF7pmv7uMBAiIlJAr2GjYGXUIahQGQZ1xX6Pd4iN1PS47czaDlZxaIyISCGth42kMGLvGimMOgQVSsOgrtjv8cnv7MTavcc1OeaqXd/j2Vt6cvo8EVEgMFKvGKPV18hh1CEormEIlOyrxs4jdZod70xDk6YBLwMhIiI/8leGpvV+T51twKS3d7fJWkhdQFONc/Dl2ow8BBXKaxj6svCuL/y1jpkrDISIiPzEXxkaV/sNM7leTNMfna7dnYMv12b0ISgjDoP6W5NN4Lk1yhfe9cXJsxc0OxaLpYmI/MBfM6Dc7ddTDXHL+ho1+OPaAmEmnlaz57Tmrm/TvI0HUW3VZzZcUjuzZsdiRihASU1JB2rhJFEg89daZJ72K4Ua9TX+XGctlIeg9OIus3dr33T849NK3c7LEs+GiuSB1JR0IBdOEgUyf82A8rZfb9Sor/H37K5QHILSi7v6n6q6el2DoMgwsKEiuSc1JW3ExmREocJfM6CUZnRMaP4SpMaHixazu4J1CMpIfM0uuvJoflfcPzgT7aOdcyzhMt++TokxbKhIrkltOHbhos2QjcmIQoW/ZkApyeioXV9j5NldJJ2v2cWW0hOisfDu/rjS0h7FX1XjdP1Fx3MmE9Ak86MmzqxtA0dZgVBmZiZMJlObP5MmTQIAVFdXY+zYsbBYLIiLi0P//v2xatWqNvtZt24dcnNzERMTg8TERIwYMcLp+SNHjqCwsBCxsbFITU3FE088gYsXLzpt88knn6B///4wm83Izs7G0qVL2xxn/vz5yMzMRHR0NHJzc7Ft2zY5l2s4UlPS/1d2SHLqmojUZ58B5S7sUJqh8bZfoHn2WEtqd7r217WRttSoFxvey4J3xg/C5mlDAcDlKIRQ8H3bEq9doTQgs0Zo+/btaGpqcvy9vLwcN954I+644w4AwD333IPa2lqsWbMGKSkpePvttzFy5Ejs2LED/fr1AwCsWrUK48ePx0svvYShQ4fi4sWLKC8vd+yzqakJhYWFsFgs+Pzzz1FVVYV77rkHkZGReOmllwAAlZWVKCwsxMSJE/Gvf/0LGzZswLhx45Ceno6CggIAwLvvvoupU6di4cKFyM3NxV/+8hcUFBTgwIEDSE1N9e1V04nUG/fwyXOq7o+I5PFXEz4p+503pj8S46L8Vl/DBoPBwdeMnSXejHl39kd4mEn1Ybb4aG0zQiYhlMRrzaZMmYK1a9fi4MGDMJlMaNeuHRYsWICxY8c6tklOTsbs2bMxbtw4XLx4EZmZmXj++efx4IMPutznhx9+iF/96lc4duwY0tLSAAALFy7EtGnT8MMPPyAqKgrTpk3DunXrnAKo0aNHo7a2FsXFxQCA3NxcXH311Zg3bx4AwGazoXPnznjkkUfw1FNPSbo+q9WKhIQE1NXVIT4+XtFrpKayihqMWbTF63YzCrvjhXVfe93unfGDDNMRlygYadlHSOuJEEY4B1KuySYwZPZGt32b7NwFuy2zjFI/m6RKjInAjhk3+RRMy/n8Vjxr7MKFC1i2bBmmTp0Kk6n5ZAcPHox3330XhYWF6NChA1asWIH6+npcf/31AIBdu3bh6NGjCAsLQ79+/VBdXY2cnBzMmTMHvXr1AgCUlZWhd+/ejiAIAAoKCvDwww/jq6++Qr9+/VBWVob8/Hyn8ykoKMCUKVMc57Zz505Mnz7d8XxYWBjy8/NRVlbm9poaGhrQ0NDg+LvValX68viF1IZjY/My8cbmSsM2JiMKFf6aAWWEmVVGOAdSTkpm76Frs7DmiyqvrQzU7jV06vzFwFhio6ioCLW1tbjvvvscj61YsQKjRo1CcnIyIiIiEBsbi/feew/Z2dkAgO+++w4A8Nxzz+HPf/4zMjMzMXfuXFx//fX45ptvkJSUhOrqaqcgCIDj79XV1Y7/utrGarXi/PnzOHXqFJqamlxus3//frfXNGvWLDz//PPKXhANSE1JR0WEMXVNZBD+WovMCGucyTkH9jQzHil9m54c1t3r+3byTEPrXfssIJbYWLx4MYYPH46MjAzHYzNmzEBtbS1KS0uRkpKCoqIijBw5Eps2bULv3r1hs9kAAE8//TR+85vfAACWLFmCTp06YeXKlZgwYYKPl+Ob6dOnY+rUqY6/W61WdO7cWcczaktqwzE2JiMio+AwmnF5y+y5C3ZbBrY1Z9UPhH70Q3DljqJA6PDhwygtLcXq1asdj1VUVGDevHkoLy9Hz549AQB9+/bFpk2bMH/+fCxcuBDp6c03fI8ePRw/Zzabcdlll+HIkSMAAIvF0mZ21/Hjxx3P2f9rf6zlNvHx8YiJiUF4eDjCw8NdbmPfhytmsxlms7bV6kpITUkzdU2kPWY+nLlr2ufPxWBJHk+ZPVf3c8m+6jaBrdpqzzf6bd+tKQqElixZgtTUVBQWFjoeO3eueaZSWJjzjPzw8HBHJmjAgAEwm804cOAAhgwZAgBobGzEoUOH0KVLFwBAXl4e/vSnP+HEiROO2V0lJSWIj493BFB5eXlYv36903FKSkqQl5cHAIiKisKAAQOwYcMGx9R8m82GDRs24He/+52SSzYcqSlpI6TPiUIFMx/O/LkcB/mfq/u5Q2wkas/5P0gxeWwSoS7ZDRVtNhuWLFmCe++9FxERP8dR3bp1Q3Z2NiZMmIBt27ahoqICc+fORUlJiSMYiY+Px8SJEzFz5kz8+9//xoEDB/Dwww8DgGMK/k033YQePXpg7Nix+OKLL/DRRx/hmWeewaRJkxzZmokTJ+K7777Dk08+if379+Pvf/87VqxYgUcffdRxPlOnTsWiRYvw1ltv4euvv8bDDz+Ms2fP4v7771f8YhFRcHG32KQS7ObelpzlOMhY3N3PWgRBADT9Ai87I1RaWoojR47ggQcecHo8MjIS69evx1NPPYVbbrkFZ86cQXZ2Nt566y3cfPPNju3mzJmDiIgIjB07FufPn0dubi42btyIxMREAM0ZpLVr1+Lhhx9GXl4e4uLicO+99+KPf/yjYx9ZWVlYt24dHn30Ubz22mvo1KkT3njjDUcPIQAYNWoUfvjhBzz77LOO2WnFxcVtCqiJKDSpmb1h5sM1LZbjIPX5Y/kNua7O1G5Ws099hIKd0foIEZE63NWtuOqRIoXUPiqh1ruLr0tg+uzgj7hr8VZdz8HXe0LO5zfXGiOikCJ1zT45w2TMfLjG5TiMx9twcHF5FSa9vUuns/uZlr8riqfPExEFIjl1K1K/kXIhUte4HIexeBsOdpcp1YOWvyvMCBFRSPFH9oaZD/fsPc0sCc4fbGovBkueeSvmX//lMd3rguxMgKa/K8wIEUnE/jDBwR/ZG2Y+PGNPM31JKeZ/5v1ynDyrXe8eI2EgRCQB+8MED6lr9sn9RuprN3clgXYgBefsaeY7pe+3lOFgqUFQh5hIXJ2ViJJ9J9xuExlmQqMPrSgEEBhrjRGFCnbGDS7+zN4ozXwoCbRDLTgPpKDPH3x5v9UsPP7bmH54ctWXHrfxJQiy03KtMdYIEXngjxlGpD9/1q3YMx+35XRE3uXJkoIguY0YQ615Y3F5FYbM3ogxi7Zg8vI9GLNoC4bM3hh01+mOr++31GHepLgor3VuYSaTX5fWsDt59oLfj2HHQIjIA3bGDV7DeqVj87SheGf8ILw2OgfvjB+EzdOGappNURJoh1pwHmpBX2tqvN9Si/lfvK2X4++tnweaM6U/+mGBVVcSY6M0OQ7AQIjII/aHCW5yszdqUxJoB1Nw7q2nTagFfa6o8X7bh4MBz0HOzX28Z0q1mtZ+6px2GSHWCBF5wP4w5E9KAu1gCc6l1Lz4o+dToFHr/ZZazO+tzm1gVhIs8dGotvr3/kqK0y4jxECIyAN/zTAiApQF2sEQnEudgBAsQZ8v1Hy/pRbze5rh91F5FU43+H+avSUhxu/HsOPQGJEHUlPKoTR7hdSjpBFjoDdvlDPcFQxBn6/Ufr99GQ6etX4ffvv2bpxtaJL8M0qYAAzokujXY7TEQIjIC3bGJX9REmgHenAuZ7hL7SDAW02SERnl/V7/ZRX+8WmlX49hJwDsPHxKk2MBHBojkoSdcclflDRi9LV5o57kDHep2fMpkPsu6f1+N9kEnnm/3K/HaE3LPkIMhIgkYmdc8hclgbbWwblaDQ3lDnepEQQEQ1NUPb+Mbas8qWlfH0DbPkIMhIiIDEBJoK1VcK5mNkXJBARfggAp62w9/8E+3NjDYvgMr15fxvQoRk9qZ9bsWKwRIiJSIBDrTdzxdC1qNzRUWvOitMg3mPou6UWPYnRLvHbHZEaIiEimQK43ac3TtdzYw+KXbIqWNS+cgu+7gVlJSIqL0my4KiIMms56ZCBERCRDMNSb2Hm7lin5Xf3W0FCrmhdOwfddeJgJI3Iy8OZnhzQ5ntA4ucqhMSIiiYJpyQcp17JE4gef0myKFkucBHrfJS15GiK9sYdFu/MQwJbvajQ7HjNCREQSBdOSD1Kupfa8tA7CRs6mqDkFP5h5G+61B5RarDwPAGUVNbgmO0WTYzEjREQkUTDVm0g9xw4xkQGfTWFTVM+kFMTbA0oT2ha5+4d2WVVmhIiIJNKr3kRqDx85vX6knuP912ThL6XfBHw2hU1RXZPTXsBdkbs/5F2mTTYIYCBERCSZHovwSp2hJncmm9Rr+d3QbFxpaReQXaxbY1PUtuQO97YOKIvLq/FhebWq5xQVbsIgDd8nBkJERBJ5qjfBT39XM0MidYaakplscmpnmE0JXkqGe+0BpT2bpLah3VM1vbdYI0REJIN9eCAhNrLNcx1cPKaU1BlqFy7aFM9kk1M7o8UML38JpuaXapM6RHrw+GnHa2d/PR95e6dfeguNzc1UfZ+eMCNERKRA3bm2M6rqzjWq1ktI6pDF/5Ud8mkmW7Bne4Kp+aU/eBsitZv3cQXmfVyBDrGRuNhkw5mGJr+cT3REmKbDYgAzQkQUopRmCbTqJSR1yOLwyXM+7y+Qsz2eqL08SDDytOSJK7XnGv0WBAHNQarW9x8zQkQUcnzJEmjVS0jqkEWXpFhV9xcsjLDYqpxZfHrScjaYN5U157D+y2O4uU+GZsdkIEREIcXXJTK06iUkdVbX2LxMvLG5UtOZbIFA7+aXeg3JKQ2+hvVKh80m8Nu3d/vt3KR6uqgcBb3SNQsaOTRGRCFDjWEtrXoJSV2lPSoiTNFq7sFOz+aXeg3JFZdXYcjsjRizaAsmL9+DMYu2YMjsjZKO12QTeGHd1345L7lOnWvEtsqTmh2PgRARhQw5WQJ3tFy7SuqsrmDunKy0lkuP5pdNNoHPvv0RT63aq1oNmdTr9zX48va7oTUtu7NzaIyIQoYaWQKt166SOqsrGGd/+TK8pHXzS1fn6oqcITlX+0yKi8SLt/VyqqFRox7KaMvCaFnTxowQEYUMtbIEWmdgpM7qCqbZX75mOKQOLarxGrk7V0+8BR7u9nnybCN++/ZuzFr/cyNDNTKdRiumH9AlUbNjMSNERCFDzSxBMGZgjEKtGV/uZkOpuTyIp3P1xFPgIWWf//i0En07JeLmPuk+ZTrtxdXV1nokxUXi5Nm2/bH0sPPwKc2WQ2EgREQhQ+1hLa5d5R9qzvjyd8Aqt7ZGSrAtdZ8z3i9HQS+L4kyn1OE8u1v6WLD90ClUWxskbe8L1ggREfmJFlkC8o3aM778GbDK+cCWGmxL3WfN2QvYVnlSUabTXRsJV1rWZbWcnn/w+BnM+/hbSecqV1JslF/26woDISIKORzWMjY9ZnwpJeccpAbbcvZ54nS910ynADD66s5Y++UxpLaPxoAuiR6H3kwAkuKi8Exhd1gSYpx+N1oGlWUVNX4LhPZXn8YvrrjEL/tujYEQEYUkDmsZl9YzvnwhZa2uDrGRmD+mPwZJLGAfmJUkuV7HHjS5y3TaFwf+39KDjseS4qI8LpYq0JxtsiTEePwdaT5Pz/tS6r+npC0dowbOGiOigBJsK4kH2/WoQemMLz1eS2/nagLw8u29cU3XFMnnGx5mwou39fJ67Nb9qob1SsfmaUPxzvhBeG10Dh7NvwJ15xpR22qBYKmBi7chOqnnqYTUpWPUwIwQEQWMYFtJPNiuR01ya7n0fC2V1J15O9+b+2Rgwve1+MenlS6PaYLrYNCe6WyyCQyZvVH2bLaW7NkmT8t23NwnHRO+z3J7nkqNzctUdX+emIQQ/PrhhtVqRUJCAurq6hAfH6/36RCFNHfFnfaPgUDroBxs1+MvUtbOMsprKXWdLznnu/7LKjzzfrlTFkdKgFdWUYMxi7Yovpb0hGhsnjYUJfuqJQWYa/ccxfSivThd7/vK9J06RGPzUzf4tA85n9/MCBGR4RlhJXE1Bdv1+JO3Wi4jvZZS6s7knu/NfdJR0Et+Yb+v08/PNzbhleKv8fqnlV4XKC4ur8KfPtyvShAEANdfmarKfqRijRARGZ4anXONJNiuR0+B9loqOV8lHcOlzjyLM4e7fLz2XCP+4SIIsp8j0Bywrf9Sfldtbzr8VOCtFQZCRDphkax0eq4k7g/Bdj16CrTXUqvzlbo4cLso14GQN/aA7Zn3y32qQ3Jl2dYjmv57yKExIh2wSFaeQOorI0WwXY+eAu211Op8pXRRH331pfjf0m98Oo4/ps7XnmuU1DVcLcwIEWnM18UkQ5HUb7dG6CsjRbBdj54C7bX09XzlZJK9LQ6cmaLdFHW5uMQGUZAyUmFnIFF7jTC9Bdv16CnQXktfzldJJtlTF/Wyihr1LkxlWmbwmBEi0lCgFXYaibdvt4E2pBhs16OnQHstlZxvcXkVJirMJLsrtvaWndJLUlykphk8ZoSINBRohZ1GE2xrhAXb9egp0F5LOefbZBN4avVel/vxJZPsKTulp1/ndNT0fWMgRKShQCvsNKJgWyMs2K5HT1q/llIbKLoj9Xznbfy2zTIZLbXMJMu9fnddsfUUH6Pt9HkGQkQaCqTFJCk0+PphHqq0mvnZZBNY8pm05SuUZpLt2amln1XihXVfK9qHmt7ZdgS/G9pVs/uQNUJEMvnS/0fpYpJE/lBcXoUhszdizKItmLx8D8Ys2oIhszdy5qIXWs783FZ5ErXnva9CD/iWSQ4PM+G+a7Jk1QyZACT6oflhtbVB0zpJBkJEMqjxwRFohZ0UnNjGQRlvMz+B5nodtRoCSs3ydIjxvcDY0xe11uzPz7q9Nxbe3R/to9UdYOL0eSIDcrdQYut1d6QItMJOCi5s46CcnJmfatQrSc3y3H9NpirvlbuaoTAT0DK2s7QaBjzX0ISpK7/w+fh2KXFm1fblDQMhIgn88cHBIlnSi9Yf5sFE65mf3uoKgebhqd8N7arK8QDXX9QGdEnEzsOnXH5xa7IJ1KjdYVrD+JuBEJEE/OCgYKLFh3mwFmFrPfPT2xR3E5qHp9R+be1f1Ozv44flVUhtH41f9clwOlZxeRWeWr3X46w2JU6cblB1f54wECKSgP1/KJj4+8M8kNfS8xbA6THz091wlb9fU2/vo73Joz+cPMNAiMhQ2P+HgoncD3M52R01a+m0JiWA02tJDy3rCptsAvM2futyQVb7+zj/zn6Y/p7rJo9qSIqL8tu+W2MgRCQB+/9QMJHzYS4nuxPIRdhyAjh3GZrWBcRq06KusLi8Cs+t+QrVVtcZGfv7+OSqL3Gmoclv52FJiPHbvlszCSGM0lXbcKxWKxISElBXV4f4+Hi9T4d0Zv+HEnD9wWHkb7pErkgZ+nAVHLi758sqajBm0Ravx31n/CBD1dI12QSGzN7otg7Q/kVn87ShTgFcsNVBuXu/9fDNi8MRFaG8w4+cz29mhIgk0utbIJG/eBpuUZLdCdRaOqWTIYJp5qen91sPOw+f0uy1ZSBEJAP7/1CwcfdhriQ4CNRaukAN4NTk7f3WGhsqEhlYMH0LJHJHSXAQqLV0gRrAqcloQZ6WrzWX2CAiojaUBAeBupaePYBzd1YmNNdOGS2AU5OcwMMEoENspN96HqqxXIgcDISIiKgNpcFBIK6lF6gBnJq8vd926T+9jy/f3ttv56LWciFScdaYB5w1RkShzJeZkoE4oyqQG0Gqwd37bfdoflf8bmhXx/vo6vXyVYfYSOx85kaf7xU5n9+yMkKZmZkwmUxt/kyaNAkAUF1djbFjx8JisSAuLg79+/fHqlWrvO7j5Zdfdjx/6NAhl8fYssV5SubKlSvRrVs3REdHo3fv3li/fr3T80IIPPvss0hPT0dMTAzy8/Nx8OBBOZdLRBTSfMnu2GvpbsvpiLzLkw0fBAHN17t52lC8M34QXhudg3fGD8LmaUNDIggC3L/f6QnRWHh3f0zOv8LpfWz5eg3tdonLfZplToF/2Q/LhXgjKyP0ww8/oKnp5wZK5eXluPHGG/Hxxx/j+uuvx0033YTa2lrMmzcPKSkpePvttzFz5kzs2LED/fr1A9AcCD344IMYP368Yz/t27dHXFwcgOZAKCsrC6WlpejZs6djm+TkZERGRgIAPv/8c1x77bWYNWsWfvWrX+Htt9/G7NmzsWvXLvTq1QsAMHv2bMyaNQtvvfUWsrKyMGPGDOzduxf79u1DdLS0sVBmhIiIAjO7Q8opfb8vXLThrc8rsf3QKcRFheP2/p0wODsFJfuqvWaO4szhmHtHX9WCTjmf3z4NjU2ZMgVr167FwYMHYTKZ0K5dOyxYsABjx451bJOcnIzZs2dj3LhxAJoDoSlTpmDKlCku92kPhHbv3o2cnByX24waNQpnz57F2rVrHY8NGjQIOTk5WLhwIYQQyMjIwGOPPYbHH38cAFBXV4e0tDQsXboUo0ePlnR9DISIiIh8Zw+ujp46h+K9Vfj2h9O4KIB+nRMx8qrOGJydompw7behsZYuXLiAZcuW4YEHHoDJ1HzygwcPxrvvvouTJ0/CZrNh+fLlqK+vx/XXX+/0sy+//DKSk5PRr18/zJkzBxcvXmyz/1tvvRWpqakYMmQI1qxZ4/RcWVkZ8vPznR4rKChAWVkZAKCyshLV1dVO2yQkJCA3N9exjSsNDQ2wWq1Of4iIiMg39qHS/7mqM964fyA+efIGbJ52A/52Z3/84opLdM0wKu4jVFRUhNraWtx3332Ox1asWIFRo0YhOTkZERERiI2NxXvvvYfs7GzHNr///e/Rv39/JCUl4fPPP8f06dNRVVWFP//5zwCAdu3aYe7cubjmmmsQFhaGVatWYcSIESgqKsKtt94KoLkWKS0tzel80tLSUF1d7Xje/pi7bVyZNWsWnn/+eaUvCREREQUYxYHQ4sWLMXz4cGRkZDgemzFjBmpra1FaWoqUlBQUFRVh5MiR2LRpE3r3bp5qN3XqVMf2ffr0QVRUFCZMmIBZs2bBbDYjJSXFaZurr74ax44dw5w5cxyBkL9Mnz7d6dhWqxWdO3f26zGJiIhIP4oCocOHD6O0tBSrV692PFZRUYF58+ahvLzcUeTct29fbNq0CfPnz8fChQtd7is3NxcXL17EoUOHcOWVV7rdpqSkxPF3i8WC48ePO21z/PhxWCwWx/P2x9LT0522cVd3BABmsxlms9nDlRMREVEwUVQjtGTJEqSmpqKwsNDx2Llz55p3GOa8y/DwcNhsNrf72rNnD8LCwpCamupxm5YBTV5eHjZs2OC0TUlJCfLy8gAAWVlZsFgsTttYrVZs3brVsQ0RERGR7IyQzWbDkiVLcO+99yIi4ucf79atG7KzszFhwgS8+uqrSE5ORlFREUpKShyzu8rKyrB161b88pe/RPv27VFWVoZHH30Ud999NxITEwEAb731FqKiohzT7VevXo0333wTb7zxhuNYkydPxnXXXYe5c+eisLAQy5cvx44dO/D6668DAEwmE6ZMmYIXX3wRXbt2dUyfz8jIwIgRIxS/WERERBRkhEwfffSRACAOHDjQ5rlvvvlG3H777SI1NVXExsaKPn36iH/+85+O53fu3Clyc3NFQkKCiI6OFt27dxcvvfSSqK+vd2yzdOlS0b17dxEbGyvi4+PFwIEDxcqVK9sca8WKFeKKK64QUVFRomfPnmLdunVOz9tsNjFjxgyRlpYmzGazuOGGG1yesyd1dXUCgKirq5P1c0RERKQfOZ/fXGLDA/YRIiIiCjya9BEiIiIiCnQMhIiIiChkKe4jFArso4bsME1ERBQ47J/bUqp/GAh5cPr0aQBgU0UiIqIAdPr0aSQkJHjchsXSHthsNhw7dgzt27d3rKemJnvn6v/+978hUYwdStfLaw1eoXS9vNbgFezXK4TA6dOnkZGR0aa/YWvMCHkQFhaGTp06+f048fHxQXkjuhNK18trDV6hdL281uAVzNfrLRNkx2JpIiIiClkMhIiIiChkMRDSkdlsxsyZM0NmoddQul5ea/AKpevltQavULteT1gsTURERCGLGSEiIiIKWQyEiIiIKGQxECIiIqKQxUCIiIiIQhYDIRlefvllmEwmTJkyxfFYfX09Jk2ahOTkZLRr1w6/+c1vcPz4caefO3LkCAoLCxEbG4vU1FQ88cQTuHjxotM2n3zyCfr37w+z2Yzs7GwsXbq0zfHnz5+PzMxMREdHIzc3F9u2bXN6Xsq5+HKt119/PUwmk9OfiRMnBuS1Pvfcc22upVu3brL2HyzXGkzvKwAcPXoUd999N5KTkxETE4PevXtjx44djueFEHj22WeRnp6OmJgY5Ofn4+DBg077OHnyJO666y7Ex8ejQ4cOePDBB3HmzBmnbb788kv84he/QHR0NDp37oxXXnmlzbmsXLkS3bp1Q3R0NHr37o3169c7PS/lXHy93vvuu6/N+zts2LCAu97MzMw212EymTBp0iQAwfU7K+V6g+33VleCJNm2bZvIzMwUffr0EZMnT3Y8PnHiRNG5c2exYcMGsWPHDjFo0CAxePBgx/MXL14UvXr1Evn5+WL37t1i/fr1IiUlRUyfPt2xzXfffSdiY2PF1KlTxb59+8Tf/vY3ER4eLoqLix3bLF++XERFRYk333xTfPXVV2L8+PGiQ4cO4vjx45LPxddrve6668T48eNFVVWV409dXV1AXuvMmTNFz549na7lhx9+kLz/YLrWYHpfT548Kbp06SLuu+8+sXXrVvHdd9+Jjz76SHz77beObV5++WWRkJAgioqKxBdffCFuvfVWkZWVJc6fP+/YZtiwYaJv375iy5YtYtOmTSI7O1uMGTPG8XxdXZ1IS0sTd911lygvLxfvvPOOiImJEf/4xz8c23z22WciPDxcvPLKK2Lfvn3imWeeEZGRkWLv3r2yzsXX67333nvFsGHDnN7fkydPOu0nEK73xIkTTtdQUlIiAIiPP/5YCBFcv7NSrjeYfm/1xkBIgtOnT4uuXbuKkpIScd111zmCg9raWhEZGSlWrlzp2Pbrr78WAERZWZkQQoj169eLsLAwUV1d7dhmwYIFIj4+XjQ0NAghhHjyySdFz549nY45atQoUVBQ4Pj7wIEDxaRJkxx/b2pqEhkZGWLWrFmSz8WXaxVCtPl7a4F0rTNnzhR9+/Z1+Vywva+erlWI4Hpfp02bJoYMGeL2eZvNJiwWi5gzZ47jsdraWmE2m8U777wjhBBi3759AoDYvn27Y5sPP/xQmEwmcfToUSGEEH//+99FYmKi4/rtx77yyisdfx85cqQoLCx0On5ubq6YMGGC5HPx9XqFaA6EbrvtNrfPB9L1tjR58mRx+eWXC5vNFnS/s96uV4jg+r3VG4fGJJg0aRIKCwuRn5/v9PjOnTvR2Njo9Hi3bt1w6aWXoqysDABQVlaG3r17Iy0tzbFNQUEBrFYrvvrqK8c2rfddUFDg2MeFCxewc+dOp23CwsKQn5/v2EbKufhyrXb/+te/kJKSgl69emH69Ok4d+6c47lAu9aDBw8iIyMDl112Ge666y4cOXJE8v6D5VrtguV9XbNmDa666irccccdSE1NRb9+/bBo0SLH85WVlaiurnY6RkJCAnJzc53e2w4dOuCqq65ybJOfn4+wsDBs3brVsc21116LqKgop+s9cOAATp06Jek1kXIuvl6v3SeffILU1FRceeWVePjhh1FTU+N4LpCu1+7ChQtYtmwZHnjgAZhMpqD8nfV0vXbB8nurNy666sXy5cuxa9cubN++vc1z1dXViIqKQocOHZweT0tLQ3V1tWObljei/Xn7c562sVqtOH/+PE6dOoWmpiaX2+zfv1/yufhyrQBw5513okuXLsjIyMCXX36JadOm4cCBA1i9enXAXWtubi6WLl2KK6+8ElVVVXj++efxi1/8AuXl5UH3vnq61vbt2wfV+/rdd99hwYIFmDp1Kv7whz9g+/bt+P3vf4+oqCjce++9jv24Oo+W15Kamur0fEREBJKSkpy2ycrKcvuaJCYmun1NWu7D27n4er0AMGzYMNx+++3IyspCRUUF/vCHP2D48OEoKytDeHh4QF2vXVFREWpra3Hfffc59h1Mv7PerhcIrn+P9cZAyIP//ve/mDx5MkpKShAdHa336fiVlGt96KGHHP/fu3dvpKen44YbbkBFRQUuv/xyrU5VFcOHD3f8f58+fZCbm4suXbpgxYoViImJ0fHM1OfpWh988MGgel9tNhuuuuoqvPTSSwCAfv36oby8HAsXLnQEBsFEyvWOHj3asX3v3r3Rp08fXH755fjkk09www036HLevlq8eDGGDx+OjIwMvU9FE66uN5h+b/XGoTEPdu7ciRMnTqB///6IiIhAREQE/vOf/+Cvf/0rIiIikJaWhgsXLqC2ttbp544fPw6LxQIAsFgsbarn7X/3tk18fDxiYmKQkpKC8PBwl9u03Ie3c/HlWpuamtr8TG5uLgDg22+/DahrdaVDhw644oor8O2330raf7BcqyuB/L6mp6ejR48eTo91797dMRRo34+38zhx4oTT8xcvXsTJkydVef9bPu/tXHy9Xlcuu+wypKSkOL2/gXK9AHD48GGUlpZi3LhxjseC+XfW1fW6Esi/t3pjIOTBDTfcgL1792LPnj2OP1dddRXuuusux/9HRkZiw4YNjp85cOAAjhw5gry8PABAXl4e9u7d6/QPTUlJCeLj4x3/gOXl5Tntw76NfR9RUVEYMGCA0zY2mw0bNmxwbDNgwACv5+LLtYaHh7f5mT179gBo/sc4kK7VlTNnzqCiogLp6emS9h8s1+pKIL+v11xzDQ4cOOD02DfffIMuXboAALKysmCxWJyOYbVasXXrVqf3tra2Fjt37nRss3HjRthsNseHTV5eHj799FM0NjY6Xe+VV16JxMRESa+JlHPx9Xpd+f7771FTU+P0/gbK9QLAkiVLkJqaisLCQsdjwfw76+p6XQnk31vd6V2tHWhaV+pPnDhRXHrppWLjxo1ix44dIi8vT+Tl5Tmet09hvOmmm8SePXtEcXGxuOSSS1xOYXziiSfE119/LebPn+9yCqPZbBZLly4V+/btEw899JDo0KGD04wAb+fiy7V+++234o9//KPYsWOHqKysFO+//7647LLLxLXXXhuQ1/rYY4+JTz75RFRWVorPPvtM5Ofni5SUFHHixAlJ+w+Waw2293Xbtm0iIiJC/OlPfxIHDx4U//rXv0RsbKxYtmyZY5uXX35ZdOjQQbz//vviyy+/FLfddpvL6fP9+vUTW7duFZs3bxZdu3Z1mk5eW1sr0tLSxNixY0V5eblYvny5iI2NbTOdPCIiQrz66qvi66+/FjNnznQ5ndzbufhyvadPnxaPP/64KCsrE5WVlaK0tFT0799fdO3aVdTX1wfc9TY1NYlLL71UTJs2rc1zwfQ76+16g+33Vm8MhGRqHQidP39e/Pa3vxWJiYkiNjZW/PrXvxZVVVVOP3Po0CExfPhwERMTI1JSUsRjjz0mGhsbnbb5+OOPRU5OjoiKihKXXXaZWLJkSZtj/+1vfxOXXnqpiIqKEgMHDhRbtmxxel7KuSi91iNHjohrr71WJCUlCbPZLLKzs8UTTzzh1LcikK511KhRIj09XURFRYmOHTuKUaNGOfVeCab31dO1Btv7KoQQH3zwgejVq5cwm82iW7du4vXXX3d63maziRkzZoi0tDRhNpvFDTfcIA4cOOC0TU1NjRgzZoxo166diI+PF/fff784ffq00zZffPGFGDJkiDCbzaJjx47i5ZdfbnMuK1asEFdccYWIiooSPXv2FOvWrZN9Lr5c77lz58RNN90kLrnkEhEZGSm6dOkixo8f7/QhFkjX+9FHHwkALn8mmH5nvV1vMP7e6skkhBB6Z6WIiIiI9MAaISIiIgpZDISIiIgoZDEQIiIiopDFQIiIiIhCFgMhIiIiClkMhIiIiChkMRAiIiKikMVAiIiIiEIWAyEiIiIKWQyEiIiIKGQxECIiIqKQxUCIiIiIQtb/BzMIdYOvRFmZAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING UP UNDERPOPPED\n",
    "HDnAddedUnits, HDaddedPop = [0]*nHDs, [0.]*nHDs\n",
    "underPoppedList = list()\n",
    "minDistrictPop, maxDistrictPop = 0.99 * aDP, 1.01 * aDP\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop < minDistrictPop and t in popHDlist:\n",
    "        underPoppedList.append(t)\n",
    "print(\"We will now square up the\",len(underPoppedList),\"HDs with pop <\",int(minDistrictPop),\"to within\",int(maxGap) )\n",
    "startTime = time.time()\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "for ii,t in enumerate(underPoppedList):\n",
    "    if ii%100 == 0:\n",
    "        print(\"working on squaring up HD\",t,\"time is now\",int(time.time() - startTime)) \n",
    "    gap = aDP - HDvPop[t]\n",
    "    origGap = gap\n",
    "    nearHDlist, nearHDscore = list(), list()  #these will be dynamic lists of the nearby underused units\n",
    "    for u in HDunitList[t]:\n",
    "        for uu in unitNbrs[u]:\n",
    "            if uu not in HDunitList[t] and uu not in nearHDlist and unitPop[uu] < gap + maxGap:\n",
    "                nearHDlist.append(uu)   #below line: bias toward close, underused\n",
    "                nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  \n",
    "    currList = HDunitList[t].copy()\n",
    "    addedList = list()\n",
    "    stillGoing = True\n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "        while i < len(nearHDscore) and notYetPicked:        \n",
    "            listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "            if canAdd: \n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else:\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  #bias toward close, underused\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for i, uu in enumerate(nearHDlist.copy()):\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    HDunitList[t] += addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    HDnAddedUnits[t] = len(addedList)\n",
    "    HDaddedPop[t] = np.sum( [unitPop[u] for u in addedList] )\n",
    "    if HDvPop[t] > maxDistrictPop:\n",
    "        print(\"Oops! HD\",t,\"now has overshot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after adding\",HDaddedPop[t] )\n",
    "print(\"We have addressed underpop in a total of\",len(underPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original (x) to final pop (y)\")\n",
    "plt.scatter([HDvPop[t] - HDaddedPop[t] for t in underPoppedList], [HDvPop[t] for t in underPoppedList])\n",
    "plt.axhline(y=aDP, xmin = 0.9*aDP, xmax = 1.1*aDP, ls=\"--\")\n",
    "plt.axvline(x=aDP, ymin = 0.9*aDP, ymax = 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "id": "bc01409d-d9e4-43a6-9fae-c76aa7bdc855",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previous unit avg and sd usage are 1.00029 0.11976\n",
      "amped unit avg and sd usage are 1.00409 0.11756\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "prevUnitUse = [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in latestHDlist[t]:\n",
    "        prevUnitUse[u] += HDweight[t] * nDistricts\n",
    "\n",
    "ampedUnitUse = [0. for u in range(nUnits)]\n",
    "ampedHDlist = [HDunitList[t].copy() for t in range(nHDs)]\n",
    "ampedHDpop = [HDvPop[t] for t in range(nHDs) ]\n",
    "for t in popHDlist:\n",
    "    for u in ampedHDlist[t]:\n",
    "        ampedUnitUse[u] += HDweight[t] * nDistricts   #KISS - recalc these\n",
    "plt.hist(prevUnitUse,bins=50,weights=unitPop,label=\"previous\",histtype=\"step\")\n",
    "plt.hist(ampedUnitUse, bins=50, weights=unitPop,label=\"amped\",histtype=\"step\")\n",
    "plt.legend()\n",
    "ampedUnitUseAvg, ampedUnitUseSD = getWeightedAvgAndSD(ampedUnitUse,unitPop)\n",
    "print(\"previous unit avg and sd usage are\",r5(latestAvg), r5(latestSD) )\n",
    "print(\"amped unit avg and sd usage are\",r5(ampedUnitUseAvg), r5(ampedUnitUseSD) )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "id": "ee512b2b-4daa-4a6b-9452-e8dfdfdebc88",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the current barredJettisonSet (usually CCB's) is {9776, 9777, 9778}\n"
     ]
    }
   ],
   "source": [
    "#CHECK ON BARRED JETTISON SET BEFORE RUNNING BELOW\n",
    "print(\"the current barredJettisonSet (usually CCB's) is\",barredJettisonSet)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "id": "dd7d9818-344c-4150-917b-57a4ee051c92",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\n",
      "Let's now square down the 703 overPopped HDs to within 1089\n",
      "working on squaring down HD 0 time is now 0\n",
      "working on squaring down HD 652 time is now 32\n",
      "working on squaring down HD 1342 time is now 111\n",
      "working on squaring down HD 1930 time is now 169\n",
      "working on squaring down HD 2029 time is now 196\n",
      "working on squaring down HD 2193 time is now 237\n",
      "working on squaring down HD 2745 time is now 282\n",
      "working on squaring down HD 3701 time is now 319\n",
      "working on squaring down HD 4753 time is now 404\n",
      "working on squaring down HD 5090 time is now 454\n",
      "working on squaring down HD 6632 time is now 498\n",
      "working on squaring down HD 8112 time is now 566\n",
      "We have addressed overpop in a total of 703 HDs\n",
      "Here is a scatterplot of original to final pop\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING DOWN\n",
    "print(\"Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\")\n",
    "#HDunitList = [ampedHDlist[t].copy() for t in range(nHDs)]\n",
    "#HDvPop =     [ampedHDpop[t]         for t in range(nHDs)]\n",
    "#unitUse =    [ampedUnitUse[u]       for u in range(nUnits)] #saving in case I need to re-run\n",
    "HDnShedUnits = [0]*nHDs\n",
    "overPoppedList = list()\n",
    "startTime = time.time()\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop > maxDistrictPop and t in popHDlist:\n",
    "        overPoppedList.append(t)\n",
    "\n",
    "maxGap = 0.9 * np.median(unitPop)   \n",
    "print(\"Let's now square down the\",len(overPoppedList),\"overPopped HDs to within\", int(maxGap))   \n",
    "for ii,t in enumerate(overPoppedList):\n",
    "    if ii%60 == 0:\n",
    "        print(\"working on squaring down HD\",t,\"time is now\",int(time.time()-startTime))\n",
    "    unbroken, noEnclave, sPL, ePL = enclaveCheck(HDunitList[t],unitNbrs)\n",
    "    if not (unbroken and noEnclave):\n",
    "        print(\"SKIPPING shedding attempt on overpopped HD\",t,\"with pop\",HDvPop[t],\"because it was not legal to start\")\n",
    "    else:\n",
    "        #avgDist = np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "        excess = HDvPop[t] - aDP\n",
    "        origExcess = excess\n",
    "        HDboundaryList, HDboundaryScore = list(), list()  #these will be dynamic lists of the overused border units to jettison\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "        barredSet = barredJettisonSet  #new 4/10/24 for MN, ban CCB jettisoning from ALL HD's, not just near ones\n",
    "        #barredSet = set(get2nbrs([starterU],unitNbrs)).union(barredJettisonSet)  #weaker specification - must be close to be barred\n",
    "\n",
    "        for u in set(HDunitList[t]).difference(barredSet):\n",
    "            isBoundary = False\n",
    "            for uu in unitNbrs[u]:\n",
    "                if uu not in HDunitList[t]:\n",
    "                    isBoundary = True\n",
    "                    break\n",
    "            if isBoundary and HDvPop[t] - unitPop[u] > aDP - maxGap:  #shedding this unit won't send us too far under targetpop\n",
    "                HDboundaryList.append(u)\n",
    "                HDboundaryScore.append((1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t])  #low-score = bias toward far, overused\n",
    "        currList = HDunitList[t].copy()\n",
    "        shedList, stillGoing = list(), True\n",
    "        while excess > maxGap and len(HDboundaryList) > 0 and stillGoing:   #shed the highest-scoring neighboring overused unit until we've roughly squared the HDpop\n",
    "            idx, i, notYetPicked = np.argsort(HDboundaryScore), 0, True\n",
    "            while i < len(HDboundaryScore) and notYetPicked and stillGoing:        \n",
    "                listNo = idx[i]   #low (large negative) score is preferred to shed\n",
    "                unitNoToShed = HDboundaryList[listNo]  # attempt to shed this unit ...\n",
    "                tryList = list(set(currList).difference( {unitNoToShed} ) )\n",
    "                unbroken, noEnclave, sPL, ePL = enclaveCheck(tryList,unitNbrs) \n",
    "                if unbroken and noEnclave:             #... if that won't eff up contiguity\n",
    "                    notYetPicked = False\n",
    "                else:\n",
    "                    i +=1\n",
    "            if notYetPicked:\n",
    "                stillGoing = False  #can't drop any more units without creating an enclave\n",
    "                print(\"can't drop any more units to HD\",t,\"without creating an enclave\")\n",
    "            else: #add this eligible unit\n",
    "                shedList.append(unitNoToShed)\n",
    "                excess -= unitPop[unitNoToShed]        \n",
    "                del currList[currList.index(unitNoToShed) ]\n",
    "                del HDboundaryList[listNo]\n",
    "                del HDboundaryScore[listNo]\n",
    "                for u in unitNbrs[unitNoToShed]:      # ... and ID any neighboring units that will now be on boundary after we shed this unit\n",
    "                    if u in currList and u not in HDboundaryList and (unitPop[u] <= excess + maxGap and\n",
    "                                                                      u not in barredSet): \n",
    "                        HDboundaryList.append(u)\n",
    "                        HDboundaryScore.append( (1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t] )  #low-score, bias toward far & overused       \n",
    "                for uu in HDboundaryList.copy():\n",
    "                    if unitPop[uu] > excess + maxGap:  #checking to see if the latest pop change DQ's any large units on current boundary\n",
    "                        del HDboundaryScore[HDboundaryList.index(uu)]\n",
    "                        del HDboundaryList[HDboundaryList.index(uu)]   \n",
    "        for u in shedList:\n",
    "            unitUse[u] -= HDweight[t] * nDistricts\n",
    "        HDunitList[t], HDvPop[t] = currList.copy(), np.sum( [unitPop[u] for u in currList ] )    \n",
    "        if HDvPop[t] < minDistrictPop:\n",
    "            print(\"Oops! HD\",t,\"now has undershot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after shedding\",\n",
    "                 np.sum([unitPop[u] for u in shedList]) )\n",
    "\n",
    "        HDnShedUnits[t] = -1 * len(shedList)\n",
    "\n",
    "print(\"We have addressed overpop in a total of\",len(overPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original to final pop\")\n",
    "plt.scatter([ampedHDpop[t] for t in overPoppedList], [HDvPop[t] for t in overPoppedList])\n",
    "plt.axhline(aDP, 0.9*aDP, 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5c4c929d-0208-4785-aa15-5681a493a530",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "id": "9a19b23e-43cc-4609-9ee7-6d1057a7a9e1",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here are the stats prior to any equi-pop patching\n",
      "amped unit avg and sd usage are 1.00409 0.11756\n",
      "shed unit avg and sd usage are 1.00145 0.11649\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "and here are the final populations\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 8941\n",
      "working on HD 300 out of 8941\n",
      "working on HD 600 out of 8941\n",
      "working on HD 901 out of 8941\n",
      "working on HD 1202 out of 8941\n",
      "working on HD 1502 out of 8941\n",
      "working on HD 1802 out of 8941\n",
      "working on HD 2102 out of 8941\n",
      "working on HD 2402 out of 8941\n",
      "working on HD 2702 out of 8941\n",
      "working on HD 3003 out of 8941\n",
      "working on HD 3303 out of 8941\n",
      "working on HD 3603 out of 8941\n",
      "working on HD 3904 out of 8941\n",
      "working on HD 4204 out of 8941\n",
      "working on HD 4505 out of 8941\n",
      "working on HD 4806 out of 8941\n",
      "working on HD 5106 out of 8941\n",
      "working on HD 5406 out of 8941\n",
      "working on HD 5706 out of 8941\n",
      "working on HD 6006 out of 8941\n",
      "working on HD 6306 out of 8941\n",
      "working on HD 6606 out of 8941\n",
      "working on HD 6906 out of 8941\n",
      "working on HD 7206 out of 8941\n",
      "working on HD 7506 out of 8941\n",
      "working on HD 7806 out of 8941\n",
      "working on HD 8106 out of 8941\n",
      "working on HD 8407 out of 8941\n",
      "working on HD 8707 out of 8941\n",
      "all done checking HD and complement contiguity for all 8941 HDs\n",
      "underpop contigFail, enclaveFail = 0 0 out of 790\n",
      "overpop contigFail, enclaveFail = 0 0 out of 703\n",
      "total contigFail, enclaveFail =  0 0\n",
      "CCB unit 9767 with pop 97574.0 now has use 0.96194\n",
      "CCB unit 9768 with pop 58240.0 now has use 0.93466\n",
      "CCB unit 9769 with pop 37102.0 now has use 0.96076\n"
     ]
    }
   ],
   "source": [
    "print(\"Here are the stats prior to any equi-pop patching\")\n",
    "shedUnitUse = [0. for u in range(nUnits)]\n",
    "shedHDlist = [HDunitList[t].copy() for t in range(nHDs)]\n",
    "shedHDpop = [HDvPop[t] for t in range(nHDs) ]\n",
    "for t in popHDlist:\n",
    "    for u in shedHDlist[t]:\n",
    "        shedUnitUse[u] += HDweight[t] * nDistricts   #KISS - recalc these\n",
    "#plt.hist(latestUnitUse,bins=50,weights=unitPop,label=\"pre-squaring\",histtype=\"step\")\n",
    "plt.hist(ampedUnitUse, bins=50, weights=unitPop,label=\"amped\",histtype=\"step\")\n",
    "plt.hist(shedUnitUse, bins=50, weights=unitPop,label=\"shed\",histtype=\"step\")\n",
    "plt.legend()\n",
    "#latestAvg, latestSD = getWeightedAvgAndSD(latestUnitUse,unitPop)\n",
    "shedUnitUseAvg, shedUnitUseSD = getWeightedAvgAndSD(shedUnitUse,unitPop)\n",
    "#print(\"orig unit avg and sd usage are\",r5(latestAvg), r5(latestSD) )\n",
    "print(\"amped unit avg and sd usage are\",r5(ampedUnitUseAvg), r5(ampedUnitUseSD) )\n",
    "print(\"shed unit avg and sd usage are\", r5(shedUnitUseAvg),  r5(shedUnitUseSD) )\n",
    "plt.show()\n",
    "# note: when I ran this early Jan, went from 0.12662 to 0.09961 to 0.09432 SD orig-amped-shed, but contig not yet done\n",
    "print(\"and here are the final populations\")\n",
    "plt.hist([shedHDpop[t] for t in popHDlist],bins=20)\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "failEnclaveSet, failContigSet = set(), set()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%300 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs,5)\n",
    "    if not noEnclave:\n",
    "        noEnclave, eList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if not unbroken or not noEnclave:\n",
    "        #print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "        pass\n",
    "    if not unbroken:\n",
    "        failContigSet.add(t)\n",
    "    if not noEnclave:\n",
    "        failEnclaveSet.add(t)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")\n",
    "failContigUnderpopped, failEnclaveUnderpopped = set(underPoppedList).intersection(failContigSet), set(underPoppedList).intersection(failEnclaveSet)\n",
    "failContigOverpopped, failEnclaveOverpopped = set(overPoppedList).intersection(failContigSet), set(overPoppedList).intersection(failEnclaveSet)\n",
    "print(\"underpop contigFail, enclaveFail =\",len(failContigUnderpopped), len(failEnclaveUnderpopped),\"out of\",len(underPoppedList))\n",
    "print(\"overpop contigFail, enclaveFail =\",len(failContigOverpopped), len(failEnclaveOverpopped),\"out of\",len(overPoppedList))\n",
    "print(\"total contigFail, enclaveFail = \",len(failContigSet), len(failEnclaveSet) )\n",
    "for u in range(nUnits):\n",
    "    if abs( allUnits[u]%1 - 0.25) < 0.01:\n",
    "        print(\"CCB unit\",u,\"with pop\",unitPop[u],\"now has use\",r5(unitUse[u]) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "ff3288f1-f9ca-473c-886c-ee8d6c2637bf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8941 9770\n"
     ]
    }
   ],
   "source": [
    "print(nHDs, nUnits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1ed668f8-bf1e-46eb-963f-cf5e2b935b11",
   "metadata": {},
   "outputs": [],
   "source": [
    "#see MD code if we need to remove a stuck CCB's from any HDs and then redo the square-up after dropping them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "id": "e7bfa674-8fc8-42c8-86e9-76d334d3c47c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"opt3RedoContigGoodPop.csv\" #\"contigUnpatchedB.csv\" unpatchedContigGoodPop.csv\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 430,
   "id": "c0c3a3d8-cf79-40ad-aa2e-b6793266f1d4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prior to patching, write these contiguous lists to a file, converting to vtd lists\n"
     ]
    }
   ],
   "source": [
    "#SKIP THIS FOR STATES WITH FRAGMENTED VTD'S ###########\n",
    "print(\"prior to patching, write these contiguous lists to a file, converting to vtd lists\")\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "unitVTDlist = [list() for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        unitVTDlist[u] = [allUnits[u]]\n",
    "        for i,uu in enumerate(surrounders):\n",
    "            if u == uu:\n",
    "                unitVTDlist[u].append(surroundedVTDs[i])\n",
    "\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        vtdList[t] += unitVTDlist[u]\n",
    "    #add more stuff here to convert to vtd lists\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":vtdList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"needsEnclaveRemoval.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "id": "7a36c0ba-5a68-445b-a223-b7fa55dfd728",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are 8941 HD centers\n"
     ]
    }
   ],
   "source": [
    "nHDs = len(vtdGeom)\n",
    "print(\"there are\",nHDs,\"HD centers\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "id": "1b794580-5a58-4238-b310-7c87872ed679",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this optional RESTART block pulls in an existing UNIT (not vtd) list for patching\n",
      "Must have already established unitGeoms, pops, topology -- or read in via next block\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the unpatched UNIT list file, e.g. ./2024state_HD_output/OH8941opt3ContigGoodPop.csv ./2024state_HD_output/OH8941opt3RedoContigGoodPop.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sum of HDweight should be unity, actually is 0.9999999999998077\n",
      "I will now renormalize\n",
      "normalized weight is now 0.9999999999999998\n",
      "I read in 8941 HD lists of units\n",
      "orig unit avg and sd usage are 1.00145 0.11649\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"this optional RESTART block pulls in an existing UNIT (not vtd) list for patching\") #vtdlist for patching\")\n",
    "print(\"Must have already established unitGeoms, pops, topology -- or read in via next block\")\n",
    "guessedFile = \"enter the unpatched UNIT list file, e.g. ./2024state_HD_output/\"+STATE+str(nHDs)+\"opt3ContigGoodPop.csv\"\n",
    "infile = input(guessedFile)\n",
    "inDF = pd.read_csv(infile)\n",
    "vtdListString = inDF[\"HDunitList\"]  #inDF[\"HDvtdList\"]\n",
    "nHDs = len(vtdListString)\n",
    "inVTDlist = [ast.literal_eval(vtdListString[t]) for t in range(nHDs)]\n",
    "HDweight = inDF[\"HDweight\"]\n",
    "sumWt = np.sum(HDweight)\n",
    "print(\"sum of HDweight should be unity, actually is\",sumWt)\n",
    "print(\"I will now renormalize\")\n",
    "HDweight = [HDweight[t] /sumWt for t in range(nHDs)]\n",
    "print(\"normalized weight is now\",np.sum(HDweight))\n",
    "HDvPop = inDF[\"HDvPop\"].to_list()\n",
    "hdCPx, hdCPy = inDF[\"centroid x\"], inDF[\"centroid y\"]\n",
    "hdCP = [Point(hdCPx[t], hdCPy[t]) for t in range(nHDs)]\n",
    "print(\"I read in\",nHDs,\"HD lists of units\") #vtds\")\n",
    "HDunitList = [inVTDlist[t].copy() for t in range(nHDs)]\n",
    "#HDunitList = [list() for t in range(nHDs)]\n",
    "#for t in range(nHDs):\n",
    "#    if t%500 == 0:\n",
    "#        print(\"working on converting HD\",t,\"from vtd list to unit list\")\n",
    "#    for v in inVTDlist[t]:  #this will skip over surrounded units, whose pops we have added to their surrounders\n",
    "#        if v in allUnits:\n",
    "#            HDunitList[t].append(allUnits.index(v))\n",
    "#    for c in unitCounties:\n",
    "#        if countyTractList[c][0] in inVTDlist[t]:\n",
    "#            u = allUnits.index(c+0.5)\n",
    "#            HDunitList[t].append(u)\n",
    "#    for j, L in enumerate(CCBlist):\n",
    "#        c = L[0]\n",
    "#        if countyTractList[c][0] in inVTDlist[t]:\n",
    "#            u = allUnits.index(j+0.25)\n",
    "#            HDunitList[t].append(u) \n",
    "            \n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, bins=50, weights=unitPop,label=\"read-in\",histtype=\"step\")\n",
    "plt.legend()\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "print(\"orig unit avg and sd usage are\",r5(unpatchedAvg), r5(unpatchedSD) )\n",
    "plt.show()\n",
    "currAvg, currSD = unpatchedAvg, unpatchedSD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "8014f0bf-74bb-40bc-b217-af4e204ea9a7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "upon restart, need to pull in unit topology and data\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the unpatched UNIT list file, e.g. ./state_map_files/MNunitTopologies_06Apr24.csv ./state_map_files/MNunitTopologies_06Apr24.csv\n"
     ]
    }
   ],
   "source": [
    "#SKIP THE BELOW IF NOT A COLD RESTART *******\n",
    "print(\"upon restart, need to pull in unit topology and data\")  #note, this won't have geometries for plotting, but fine for patching\n",
    "topologyFile = \"enter the unpatched UNIT list file, e.g. ./state_map_files/MNunitTopologies_06Apr24.csv\"\n",
    "infile = input(topologyFile)\n",
    "topDF = pd.read_csv(infile)\n",
    "unitCPx, unitCPy, unitPop = topDF[\"centroid x\"], topDF[\"centroid y\"], topDF[\"unitPop\"]\n",
    "nUnits = len(unitPop)\n",
    "unitCP = [Point(unitCPx[u], unitCPy[u]) for u in range(nUnits) ]\n",
    "onBorder = topDF[\"onBorder\"]\n",
    "borderSet = set()\n",
    "for i, onB in enumerate(onBorder):\n",
    "    if onB == 1:\n",
    "        borderSet.add(i)\n",
    "borderList = list(borderSet)\n",
    "\n",
    "nbrListString = topDF[\"neighborList\"]\n",
    "unitNbrs = [ast.literal_eval(nbrListString[u]) for u in range(nUnits)]\n",
    "unitParentVTDno = topDF[\"unitParentVTDno\"]  #NOTE: some units are VTD fragments, so they share a parentVTDno\n",
    "uVLstring = topDF[\"unitVTDlist\"]\n",
    "unitNbrs = [ast.literal_eval(uVLstring[u]) for u in range(nUnits)]\n",
    "allUnits = topDF[\"allUnits\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "5f3a5392-11f1-4061-a458-aecd834b2748",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working avg precinct-to-HDcP distance for HD 0\n",
      "working avg precinct-to-HDcP distance for HD 800\n",
      "working avg precinct-to-HDcP distance for HD 1600\n",
      "working avg precinct-to-HDcP distance for HD 2400\n",
      "working avg precinct-to-HDcP distance for HD 3200\n",
      "working avg precinct-to-HDcP distance for HD 4000\n",
      "working avg precinct-to-HDcP distance for HD 4800\n",
      "working avg precinct-to-HDcP distance for HD 5600\n",
      "all avgDist to HD centers computed\n"
     ]
    }
   ],
   "source": [
    "#needed for restart only  about 5sec per 2000 HDs\n",
    "avgDist = [0. for t in range(nHDs)]\n",
    "popHDlist = list()\n",
    "for t in range(nHDs):\n",
    "    if t%800 == 0:\n",
    "        print(\"working avg precinct-to-HDcP distance for HD\",t)\n",
    "    if HDvPop[t] > 0.1 * aDP:\n",
    "        avgDist[t] = np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "        popHDlist.append(t)\n",
    "print(\"all avgDist to HD centers computed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "ea0db02f-9df8-4906-acb4-086c29c0fcc1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking for discontiguities for HD 0\n",
      "checking for discontiguities for HD 500\n",
      "checking for discontiguities for HD 1000\n",
      "checking for discontiguities for HD 1500\n",
      "checking for discontiguities for HD 2000\n",
      "checking for discontiguities for HD 2500\n",
      "checking for discontiguities for HD 3000\n",
      "checking for discontiguities for HD 3500\n",
      "checking for discontiguities for HD 4000\n",
      "checking for discontiguities for HD 4500\n",
      "checking for discontiguities for HD 5000\n",
      "checking for discontiguities for HD 5500\n",
      "checking for discontiguities for HD 6000\n",
      "out of 6356 total HDs, there were 6356 0 0 0 HDs that were clean, discontig only, enclave-only, both problems.  Should all be zeroes\n"
     ]
    }
   ],
   "source": [
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()  #optional contiguity check\n",
    "for t in popHDlist:\n",
    "    if t%500 == 0:\n",
    "        print(\"checking for discontiguities for HD\",t)\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems.  Should all be zeroes\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "id": "27b42f93-dc87-4afe-8eb3-f30fdff4a737",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking unitUse, pop for county clusters\n",
      "9767 0.96194 97574.0\n",
      "9768 0.93466 58240.0\n",
      "9769 0.96076 37102.0\n"
     ]
    }
   ],
   "source": [
    "print(\"checking unitUse, pop for county clusters\")\n",
    "for uNo in allUnits:\n",
    "    if uNo - int(uNo) > 0.23 and uNo - int(uNo) < 0.27:\n",
    "        u = allUnits.index(uNo)\n",
    "        print(u,r5(unitUse[u]), unitPop[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "id": "72941b8f-7be6-4a31-9377-618f44a34336",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "unpatchedUnitUse = unitUse.copy()              #... for safekeeping\n",
    "unpatchedHDlist =  [HDunitList[t].copy() for t in range(nHDs) ]\n",
    "unpatchedHDpop =   HDvPop.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "5f9ca091-1eb6-4135-a233-7f5ae0f5e3d1",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "unitUse = unpatchedUnitUse.copy()              #... for restarting\n",
    "HDunitList =  [unpatchedHDlist[t].copy() for t in range(nHDs) ]\n",
    "HDvPop =   unpatchedHDpop.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fc95ca58-c27f-4ac9-b6f7-234a94945f07",
   "metadata": {},
   "outputs": [],
   "source": [
    "#I believe BELOW UNDERUSED is faster now that we subbed wontEnclave for enclaveCheck"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "id": "e9dd457d-fb37-49cf-9b19-19c17c328ede",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here, we exchange in under-used, THEN shed over-used\n",
      "Currently, we will stop patching when the overall sd of usage is less than 0.07\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated maxSD value 0.07\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this would currently cover a total of 2707 units\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated number of units to try boosting usage 200\n",
      "enter updated stopMinUse value for ending usage boost on a unit; I reco 0.97 0.97\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are currently 4356 units out of 9770 with usage below 0.97\n",
      "maxExchangePop is currently 0.05 fraction of avgDistrictPop\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter updated maxExchangePop fraction 0.05\n",
      "enter 1 to print out stats for every patched HD, otherwise enter reporting frequency 10\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let's further tighten the distro with exchanges up to 39331\n",
      "current avg and SD of unit usage are 1.00145 0.11649 . Now trying to increase up to 200 units' underusage\n",
      "all done trying to increase usage of unit 1556 final usage = 0.84215 306 sec elapsed 92 0 successful, failed patches, couldn't start= 29\n",
      "current avg and SD of usage are 1.00145 0.11542\n",
      "all done trying to increase usage of unit 3133 final usage = 0.72947 468 sec elapsed 23 0 successful, failed patches, couldn't start= 28\n",
      "current avg and SD of usage are 1.00146 0.11502\n",
      "all done trying to increase usage of unit 3343 final usage = 0.76114 723 sec elapsed 36 0 successful, failed patches, couldn't start= 25\n",
      "current avg and SD of usage are 1.00145 0.11435\n",
      "all done trying to increase usage of unit 1557 final usage = 0.92883 1195 sec elapsed 123 0 successful, failed patches, couldn't start= 13\n",
      "current avg and SD of usage are 1.00145 0.11313\n",
      "all done trying to increase usage of unit 3142 final usage = 0.79378 1476 sec elapsed 38 0 successful, failed patches, couldn't start= 28\n",
      "current avg and SD of usage are 1.00145 0.11251\n",
      "all done trying to increase usage of unit 3407 final usage = 0.78757 1698 sec elapsed 32 0 successful, failed patches, couldn't start= 23\n",
      "current avg and SD of usage are 1.00145 0.11204\n",
      "all done trying to increase usage of unit 3323 final usage = 0.83465 2158 sec elapsed 67 0 successful, failed patches, couldn't start= 34\n",
      "current avg and SD of usage are 1.00145 0.11111\n",
      "all done trying to increase usage of unit 1688 final usage = 0.87627 2573 sec elapsed 79 0 successful, failed patches, couldn't start= 21\n",
      "current avg and SD of usage are 1.00145 0.11053\n",
      "all done trying to increase usage of unit 3154 final usage = 0.8101 2780 sec elapsed 36 0 successful, failed patches, couldn't start= 27\n",
      "current avg and SD of usage are 1.00146 0.11002\n",
      "begin usage increase for unit 3151 with usage 0.75527 . Sec, total UU units tried = 2787 10\n",
      "all done trying to increase usage of unit 3151 final usage = 0.83131 3274 sec elapsed 45 0 successful, failed patches, couldn't start= 57\n",
      "current avg and SD of usage are 1.00146 0.10959\n",
      "all done trying to increase usage of unit 3153 final usage = 0.84081 3610 sec elapsed 44 0 successful, failed patches, couldn't start= 25\n",
      "current avg and SD of usage are 1.00146 0.10913\n",
      "all done trying to increase usage of unit 1404 final usage = 0.89471 4114 sec elapsed 79 0 successful, failed patches, couldn't start= 30\n",
      "current avg and SD of usage are 1.00146 0.10852\n",
      "all done trying to increase usage of unit 2001 final usage = 0.84428 4401 sec elapsed 59 0 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00146 0.10784\n",
      "all done trying to increase usage of unit 1664 final usage = 0.93698 4995 sec elapsed 102 0 successful, failed patches, couldn't start= 12\n",
      "current avg and SD of usage are 1.00146 0.10726\n",
      "all done trying to increase usage of unit 3150 final usage = 0.83217 5498 sec elapsed 37 0 successful, failed patches, couldn't start= 57\n",
      "current avg and SD of usage are 1.00146 0.10692\n",
      "all done trying to increase usage of unit 1806 final usage = 0.97106 6124 sec elapsed 113 0 successful, failed patches, couldn't start= 21\n",
      "current avg and SD of usage are 1.00146 0.10631\n",
      "all done trying to increase usage of unit 3294 final usage = 0.84687 6617 sec elapsed 54 0 successful, failed patches, couldn't start= 26\n",
      "current avg and SD of usage are 1.00146 0.10572\n",
      "all done trying to increase usage of unit 5280 final usage = 0.87707 6858 sec elapsed 58 0 successful, failed patches, couldn't start= 36\n",
      "current avg and SD of usage are 1.00147 0.10507\n",
      "all done trying to increase usage of unit 2042 final usage = 0.89716 7246 sec elapsed 75 0 successful, failed patches, couldn't start= 35\n",
      "current avg and SD of usage are 1.00146 0.10432\n",
      "begin usage increase for unit 2374 with usage 0.78782 . Sec, total UU units tried = 7254 20\n",
      "all done trying to increase usage of unit 2374 final usage = 0.82973 7435 sec elapsed 35 0 successful, failed patches, couldn't start= 30\n",
      "current avg and SD of usage are 1.00146 0.10397\n",
      "all done trying to increase usage of unit 1789 final usage = 0.88281 7774 sec elapsed 53 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00146 0.10363\n",
      "all done trying to increase usage of unit 3397 final usage = 0.85106 8141 sec elapsed 34 0 successful, failed patches, couldn't start= 78\n",
      "current avg and SD of usage are 1.00147 0.10329\n",
      "all done trying to increase usage of unit 2381 final usage = 0.8675 8712 sec elapsed 60 0 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00147 0.10279\n",
      "all done trying to increase usage of unit 3137 final usage = 0.81348 8965 sec elapsed 24 0 successful, failed patches, couldn't start= 53\n",
      "current avg and SD of usage are 1.00147 0.10253\n",
      "all done trying to increase usage of unit 3158 final usage = 0.88492 9491 sec elapsed 47 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00147 0.10205\n",
      "all done trying to increase usage of unit 2382 final usage = 0.88171 10105 sec elapsed 68 0 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00147 0.10153\n",
      "all done trying to increase usage of unit 2390 final usage = 0.90949 10613 sec elapsed 84 0 successful, failed patches, couldn't start= 41\n",
      "current avg and SD of usage are 1.00148 0.10093\n",
      "all done trying to increase usage of unit 3196 final usage = 0.93807 11540 sec elapsed 74 0 successful, failed patches, couldn't start= 11\n",
      "current avg and SD of usage are 1.00148 0.10027\n",
      "all done trying to increase usage of unit 2383 final usage = 0.90237 11963 sec elapsed 76 0 successful, failed patches, couldn't start= 47\n",
      "current avg and SD of usage are 1.00148 0.09973\n",
      "begin usage increase for unit 2140 with usage 0.81148 . Sec, total UU units tried = 11971 30\n",
      "all done trying to increase usage of unit 2140 final usage = 0.91523 12798 sec elapsed 85 0 successful, failed patches, couldn't start= 18\n",
      "current avg and SD of usage are 1.00148 0.0993\n",
      "all done trying to increase usage of unit 2134 final usage = 0.91006 13711 sec elapsed 77 0 successful, failed patches, couldn't start= 19\n",
      "current avg and SD of usage are 1.00148 0.09892\n",
      "all done trying to increase usage of unit 1617 final usage = 0.97119 14412 sec elapsed 93 0 successful, failed patches, couldn't start= 20\n",
      "current avg and SD of usage are 1.00148 0.09856\n",
      "all done trying to increase usage of unit 1652 final usage = 0.97012 15384 sec elapsed 102 0 successful, failed patches, couldn't start= 17\n",
      "current avg and SD of usage are 1.00148 0.09819\n",
      "all done trying to increase usage of unit 5371 final usage = 0.91125 15950 sec elapsed 60 0 successful, failed patches, couldn't start= 10\n",
      "current avg and SD of usage are 1.00148 0.09775\n",
      "all done trying to increase usage of unit 3178 final usage = 0.93047 17072 sec elapsed 69 0 successful, failed patches, couldn't start= 14\n",
      "current avg and SD of usage are 1.00148 0.09716\n",
      "all done trying to increase usage of unit 2139 final usage = 0.92678 18257 sec elapsed 87 0 successful, failed patches, couldn't start= 21\n",
      "current avg and SD of usage are 1.00148 0.09678\n",
      "all done trying to increase usage of unit 3286 final usage = 0.94456 18866 sec elapsed 83 0 successful, failed patches, couldn't start= 56\n",
      "current avg and SD of usage are 1.00148 0.0961\n",
      "all done trying to increase usage of unit 3156 final usage = 0.86412 19185 sec elapsed 30 0 successful, failed patches, couldn't start= 55\n",
      "current avg and SD of usage are 1.00148 0.09583\n",
      "all done trying to increase usage of unit 5927 final usage = 0.91738 19548 sec elapsed 58 0 successful, failed patches, couldn't start= 75\n",
      "current avg and SD of usage are 1.00148 0.09514\n",
      "begin usage increase for unit 3126 with usage 0.82092 . Sec, total UU units tried = 19556 40\n",
      "all done trying to increase usage of unit 3126 final usage = 0.86663 19945 sec elapsed 28 0 successful, failed patches, couldn't start= 53\n",
      "current avg and SD of usage are 1.00148 0.09494\n",
      "all done trying to increase usage of unit 3143 final usage = 0.95033 21024 sec elapsed 79 0 successful, failed patches, couldn't start= 10\n",
      "current avg and SD of usage are 1.00148 0.09439\n",
      "all done trying to increase usage of unit 3365 final usage = 0.88435 21511 sec elapsed 39 0 successful, failed patches, couldn't start= 53\n",
      "current avg and SD of usage are 1.00148 0.09421\n",
      "all done trying to increase usage of unit 6821 final usage = 0.97018 22093 sec elapsed 88 0 successful, failed patches, couldn't start= 9\n",
      "current avg and SD of usage are 1.00148 0.09347\n",
      "all done trying to increase usage of unit 8487 final usage = 0.94631 22382 sec elapsed 80 0 successful, failed patches, couldn't start= 49\n",
      "current avg and SD of usage are 1.00149 0.09302\n",
      "all done trying to increase usage of unit 7862 final usage = 0.88954 22876 sec elapsed 39 32 successful, failed patches, couldn't start= 112\n",
      "current avg and SD of usage are 1.00148 0.09227\n",
      "all done trying to increase usage of unit 6008 final usage = 0.96239 23582 sec elapsed 87 0 successful, failed patches, couldn't start= 12\n",
      "current avg and SD of usage are 1.00148 0.09146\n",
      "all done trying to increase usage of unit 2136 final usage = 0.94664 24920 sec elapsed 92 0 successful, failed patches, couldn't start= 21\n",
      "current avg and SD of usage are 1.00148 0.09111\n",
      "all done trying to increase usage of unit 2041 final usage = 0.95282 25835 sec elapsed 97 0 successful, failed patches, couldn't start= 37\n",
      "current avg and SD of usage are 1.00148 0.09065\n",
      "all done trying to increase usage of unit 3347 final usage = 0.86907 26219 sec elapsed 44 0 successful, failed patches, couldn't start= 53\n",
      "current avg and SD of usage are 1.00148 0.09034\n",
      "begin usage increase for unit 5379 with usage 0.82975 . Sec, total UU units tried = 26227 50\n",
      "all done trying to increase usage of unit 5379 final usage = 0.90979 26560 sec elapsed 50 0 successful, failed patches, couldn't start= 64\n",
      "current avg and SD of usage are 1.00147 0.09004\n",
      "all done trying to increase usage of unit 1635 final usage = 0.92013 27235 sec elapsed 64 0 successful, failed patches, couldn't start= 46\n",
      "current avg and SD of usage are 1.00147 0.08973\n",
      "all done trying to increase usage of unit 7866 final usage = 0.9701 28250 sec elapsed 77 1 successful, failed patches, couldn't start= 65\n",
      "current avg and SD of usage are 1.00147 0.08825\n",
      "all done trying to increase usage of unit 5066 final usage = 0.87471 28454 sec elapsed 27 0 successful, failed patches, couldn't start= 74\n",
      "current avg and SD of usage are 1.00147 0.0881\n",
      "all done trying to increase usage of unit 2138 final usage = 0.94837 29886 sec elapsed 89 0 successful, failed patches, couldn't start= 45\n",
      "current avg and SD of usage are 1.00147 0.08783\n",
      "all done trying to increase usage of unit 7930 final usage = 0.97118 30855 sec elapsed 67 0 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00146 0.08643\n",
      "all done trying to increase usage of unit 7366 final usage = 0.97051 32309 sec elapsed 74 0 successful, failed patches, couldn't start= 37\n",
      "current avg and SD of usage are 1.00145 0.08515\n",
      "all done trying to increase usage of unit 5921 final usage = 0.95722 33170 sec elapsed 84 0 successful, failed patches, couldn't start= 35\n",
      "current avg and SD of usage are 1.00145 0.08437\n",
      "all done trying to increase usage of unit 3354 final usage = 0.89484 33683 sec elapsed 36 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00145 0.08418\n",
      "all done trying to increase usage of unit 3124 final usage = 0.94366 34480 sec elapsed 66 0 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00145 0.08375\n",
      "begin usage increase for unit 8390 with usage 0.83809 . Sec, total UU units tried = 34487 60\n",
      "all done trying to increase usage of unit 8390 final usage = 0.97031 35710 sec elapsed 71 0 successful, failed patches, couldn't start= 14\n",
      "current avg and SD of usage are 1.00145 0.0826\n",
      "all done trying to increase usage of unit 5086 final usage = 0.89734 35955 sec elapsed 35 0 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00145 0.0824\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[169], line 105\u001b[0m\n\u001b[0;32m    103\u001b[0m listNo \u001b[38;5;241m=\u001b[39m idx[ij]   \u001b[38;5;66;03m#work from low to high score\u001b[39;00m\n\u001b[0;32m    104\u001b[0m addU \u001b[38;5;241m=\u001b[39m addCandidates[listNo]\n\u001b[1;32m--> 105\u001b[0m cContig \u001b[38;5;241m=\u001b[39m \u001b[43mwontEnclave\u001b[49m\u001b[43m(\u001b[49m\u001b[43maddU\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mlist\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mtrySet\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43munitNbrs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mborderUnits\u001b[49m\u001b[43m)\u001b[49m  \u001b[38;5;66;03m#4/20/24 sub this in as faster? vs below line\u001b[39;00m\n\u001b[0;32m    106\u001b[0m \u001b[38;5;66;03m#contig,cContig, __, ___ = enclaveCheck(list(trySet.union({addU}) ), unitNbrs)  #4/20/24 this is unnec slow\u001b[39;00m\n\u001b[0;32m    107\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m cContig: \u001b[38;5;66;03m#contig and cContig:\u001b[39;00m\n",
      "Cell \u001b[1;32mIn[111], line 809\u001b[0m, in \u001b[0;36mwontEnclave\u001b[1;34m(proposedU, dList, NBRLIST, mapBDRYLIST)\u001b[0m\n\u001b[0;32m    807\u001b[0m                 adjSet \u001b[38;5;241m=\u001b[39m adjSet\u001b[38;5;241m.\u001b[39munion( \u001b[38;5;28mset\u001b[39m(NBRLIST[UU])\u001b[38;5;241m.\u001b[39mdifference(\u001b[38;5;28mset\u001b[39m(newList)) )\n\u001b[0;32m    808\u001b[0m             ADJLIST \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(adjSet)\n\u001b[1;32m--> 809\u001b[0m             wontEnclave, __ \u001b[38;5;241m=\u001b[39m   \u001b[43misContiguous\u001b[49m\u001b[43m(\u001b[49m\u001b[43mADJLIST\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mNBRLIST\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    811\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m wontEnclave\n",
      "Cell \u001b[1;32mIn[111], line -1\u001b[0m, in \u001b[0;36misContiguous\u001b[1;34m(VLIST, NEIGHBORLIST, returnBiggestPiece)\u001b[0m\n\u001b[0;32m      0\u001b[0m <Error retrieving source code with stack_data see ipython/ipython#13598>\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "#FIRST PATCHING BLOCK - boosting underuse.  Suppresses long strings.  For some states (e.g. MA), do overused first. MA:over-und-over-und\n",
    "#  When running Ohio the first time, 20 units took 7800 seconds\n",
    "print(\"Here, we exchange in under-used, THEN shed over-used\")\n",
    "maxSD = 0.07  #0.07  #0.05   #adjust down if distro already tight\n",
    "print(\"Currently, we will stop patching when the overall sd of usage is less than\",maxSD)\n",
    "maxSD = float(input(\"enter updated maxSD value\"))\n",
    "stopMinUse = 1. - maxSD\n",
    "#print(\"we will stop patching on individual underused units when their usage exceeds\",r5(stopMinUse))\n",
    "maxNtries = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < stopMinUse:\n",
    "        maxNtries +=1\n",
    "print(\"this would currently cover a total of\",maxNtries,\"units\")\n",
    "maxNtries = int(input(\"enter updated number of units to try boosting usage\"))\n",
    "stopMinUse = float(input(\"enter updated stopMinUse value for ending usage boost on a unit; I reco 0.97\"))\n",
    "nInPlay = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < stopMinUse:\n",
    "        nInPlay +=1\n",
    "print(\"there are currently\",nInPlay,\"units out of\",nUnits,\"with usage below\",stopMinUse)\n",
    "nSmallUsers = 5\n",
    "maxExchangePop = 0.05*aDP \n",
    "print(\"maxExchangePop is currently\",r5(maxExchangePop/aDP),\"fraction of avgDistrictPop\")\n",
    "newMEPratio = float(input(\"Enter updated maxExchangePop fraction\"))\n",
    "maxExchangePop = newMEPratio*aDP\n",
    "debug1 = int(input(\"enter 1 to print out stats for every patched HD, otherwise enter reporting frequency\"))\n",
    "print(\"Let's further tighten the distro with exchanges up to\",int(maxExchangePop)) #1/25/24\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "\n",
    "attemptedSmallUs, startTime = list(), time.time()\n",
    "print(\"current avg and SD of unit usage are\",r5(currAvg), r5(currSD),\". Now trying to increase up to\",maxNtries,\"units' underusage\" )\n",
    "startTime = time.time()\n",
    "while currSD > maxSD and len(attemptedSmallUs) < maxNtries: \n",
    "    #each round, find the (5) most underused not-yet-tried units. Pick the unit w/ most overuse of it + 1-nbrs\n",
    "    idx = np.argsort(unitUse)\n",
    "    idxNo, nSmallFound, smallUsers = 0,0,list()\n",
    "    while nSmallFound < nSmallUsers:\n",
    "        consideredSmallU = idx[idxNo]\n",
    "        if consideredSmallU not in attemptedSmallUs:\n",
    "            smallUsers.append(consideredSmallU)\n",
    "            nSmallFound +=1\n",
    "        idxNo +=1\n",
    "    UUUclusters = [ [b] + unitNbrs[b] for b in smallUsers ]\n",
    "    smallUnderUse = [np.sum([(unitUse[j] - 1.) for j in UUUclusters[i] ]) for i in range(nSmallUsers) ]\n",
    "    smallI = smallUnderUse.index(np.max(smallUnderUse))\n",
    "    UUU = smallUsers[ smallI ]  #pick the unit that centers cluster with least composite use\n",
    "    attemptedSmallUs.append(UUU)  #so we don't try this unit again in a future loop\n",
    "    UUUc = UUUclusters[smallI]  #the list of this unit and ALL its neighbors (to be curated below ...)\n",
    "    if len(attemptedSmallUs) % debug1 == 0:\n",
    "        print(\"begin usage increase for unit\",UUU,\"with usage\",r5(unitUse[UUU]),\". Sec, total UU units tried =\",\n",
    "              int(time.time()-startTime),len(attemptedSmallUs) )\n",
    "    for u in UUUc.copy():\n",
    "        if unitUse[u] > 1.:\n",
    "            UUUc.remove(u)  #...drop any overused neighbors of the primary UUU from the target sheddable cluster\n",
    "    uuuHDs, uuuDists = list(), list()\n",
    "    for t in popHDlist:  #finding all HDs with at least one cluster member on the boundary\n",
    "        if UUU not in HDunitList[t]:\n",
    "            HDadjoinSet = set( getAdjoiners(HDunitList[t],unitNbrs) )\n",
    "            if len(HDadjoinSet.intersection(UUUc) ) > 0: #the UUU or one of its underused 1-neighbors adjoins this HD\n",
    "                uuuHDs.append(t)  #Note: we'll check later if we can contiguously pick up the UUU's cluster\n",
    "                uuuDists.append( unitCP[UUU].distance(hdCP[t]) / avgDist[t] )\n",
    "        idx0 = np.argsort(uuuDists)\n",
    "    hasCandidates = True\n",
    "    if len(uuuDists) == 0:  #this underused unit is buried inside others; skip it\n",
    "        hasCandidates = False\n",
    "        print(\"   Couldn't find any HDs adjacent to underused unit\",UUU)\n",
    "    nPatchSuccess, nPatchFail, nCouldntStart, idxNo = 0,0,0,-1\n",
    "    while unitUse[UUU] < stopMinUse and idxNo < 0.8*len(uuuHDs) and hasCandidates: #arbitrarily only examine 80% closest of HDs\n",
    "        excess, giveUpOnShedding = 99*aDP, True  #default = failed swap\n",
    "        idxNo += 1\n",
    "        if idxNo % 20 == 0 and debug1 == 1:\n",
    "            print(\"try to add unit\",UUU,\"from\",abs(idxNo),\"th HD.  Usage up to\",unitUse[UUU] )\n",
    "        t = uuuHDs[idx0[idxNo]]\n",
    "        trySet = set(HDunitList[t]).union(set(UUUc))\n",
    "        contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        loopUUUc = UUUc.copy()  #default; we will add whole cluster\n",
    "        if not (contig and complementContig): #we can't add whole cluster; neighbors may be enclavy.   Try just adding the UUU\n",
    "            trySet = set(HDunitList[t]).union({UUU})\n",
    "            contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "            loopUUUc = [UUU]\n",
    "        if contig and complementContig:  #we can at least add the cluster, let's go for more\n",
    "            HDuuuSet = set(loopUUUc).difference(set(HDunitList[t]))  #the subset of the UUU cluster that adjoins (NOT in) this HD\n",
    "            HDuuuCpop = np.sum([unitPop[u] for u in HDuuuSet])\n",
    "            giveUpOnAdding = False            \n",
    "            addCandidates, addUseDists = list(), list()\n",
    "            uuCandidates = getAdjoiners(trySet, unitNbrs)  #any adjoiner can be picked up, even if far from UUUc\n",
    "            for u in uuCandidates:\n",
    "                if HDuuuCpop + unitPop[u] <= maxExchangePop:\n",
    "                    addCandidates.append(u)  #Below's relative scoring of use and distance is a bit arbitrary\n",
    "                    addUseDists.append((unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t])  #bias toward close, underused\n",
    "            if len(addCandidates) == 0:\n",
    "                giveUpOnAdding = True\n",
    "            while HDuuuCpop < maxExchangePop and not giveUpOnAdding:\n",
    "                addNneighbors = [len( set(unitNbrs[addC]).intersection(trySet) ) for addC in addCandidates ]\n",
    "                addScores = addUseDists.copy()\n",
    "                for jjj, u in enumerate(addCandidates):\n",
    "                    if addNneighbors[jjj] == 1:\n",
    "                        addScores[jjj] += 0.4321    #discourage growing fingers\n",
    "                #print(\"HDuuuCpop is now\",HDuuuCpop)\n",
    "                idx, ij, notYetPicked = np.argsort(addScores), 0, True\n",
    "                while ij < 0.5*len(addScores) and notYetPicked:\n",
    "                    listNo = idx[ij]   #work from low to high score\n",
    "                    addU = addCandidates[listNo]\n",
    "                    cContig = wontEnclave(addU, list(trySet), unitNbrs, borderUnits)  #4/20/24 sub this in as faster? vs below line\n",
    "                    #contig,cContig, __, ___ = enclaveCheck(list(trySet.union({addU}) ), unitNbrs)  #4/20/24 this is unnec slow\n",
    "                    if cContig: #contig and cContig:\n",
    "                        notYetPicked = False\n",
    "                        HDuuuCpop += unitPop[addU]\n",
    "                        HDuuuSet.add(addU)\n",
    "                        trySet.add(addU)\n",
    "                        del addUseDists[addCandidates.index(addU)]\n",
    "                        del addCandidates[addCandidates.index(addU)]                        \n",
    "                        for uu in list(set(unitNbrs[addU]).difference(trySet) ): \n",
    "                            if uu not in addCandidates and unitPop[uu] + HDuuuCpop < maxExchangePop and unitUse[uu] < 1.01:\n",
    "                                addCandidates.append(uu)\n",
    "                                addUseDists.append( (unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t] )\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnAdding = True  #all candidates would create a discontig, so can't shed any more units\n",
    "            addSet = HDuuuSet.copy()  #we're done building the list of underused units to add to this HD\n",
    "            trySet = set(HDunitList[t]).union(addSet) \n",
    "            excess = np.sum([unitPop[u] for u in trySet]) - aDP\n",
    "            shedCandidates, shedScores, giveUpOnShedding = list(), list(), False\n",
    "            bdryCandidates = getBdryNonEdgers(trySet, unitNbrs)  #new - any boundary unit can be shed, even if far from OUUc\n",
    "            for u in bdryCandidates:\n",
    "                if unitPop[u] <= excess + maxGap:\n",
    "                    shedCandidates.append(u)\n",
    "                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])  #bias toward OVERUSED, far\n",
    "            if len(shedCandidates) == 0:\n",
    "                giveUpOnShedding = True\n",
    "            shedSet = set()\n",
    "            while excess > maxGap and not giveUpOnShedding:\n",
    "                #print(\"excess pop is now\",excess,\"for HD\",t)\n",
    "                idx, ij, notYetPicked = np.argsort(shedScores), 0, True\n",
    "                while ij < len(shedScores) and notYetPicked:\n",
    "                    listNo = idx[-1-ij]   #work from high to low score\n",
    "                    shedU = shedCandidates[listNo]\n",
    "                    if shedScores[listNo] <= 0:  #we're delving into the underused; stop adding to shed list\n",
    "                        break\n",
    "                    if excess - unitPop[shedU] >= -1*maxGap:\n",
    "                        contig,cContig, __, ___ = enclaveCheck(list(trySet.difference({shedU}) ), unitNbrs)\n",
    "                        if contig and cContig:\n",
    "                            notYetPicked = False\n",
    "                            excess -= unitPop[shedU]\n",
    "                            trySet.remove(shedU)\n",
    "                            shedSet.add(shedU)\n",
    "                            del shedScores[shedCandidates.index(shedU)]\n",
    "                            del shedCandidates[shedCandidates.index(shedU)]\n",
    "                            newSheddables = set(unitNbrs[shedU]).intersection(trySet)\n",
    "                            for u in newSheddables:\n",
    "                                if excess - unitPop[u] >= -1*maxGap and u not in shedCandidates:\n",
    "                                    shedCandidates.append(u)  #we'll check enclavity if ever picked\n",
    "                                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])\n",
    "                            for kkk, u in enumerate(shedCandidates): #checking if this shed eliminates high-pop future sheds ...\n",
    "                                if excess - unitPop[u] < -1*maxGap:\n",
    "                                    del shedScores[kkk]\n",
    "                                    del shedCandidates[kkk]\n",
    "                    ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnShedding = True  #all shedcandidates would create a discontig, so can't shed enough units to square pop\n",
    "            legitSwap = False\n",
    "            if abs(excess) <= 2.*maxGap:  #giving ourselves a bit more margin after exchanges\n",
    "                contig,cContig, __, ___ = enclaveCheck(list(trySet), unitNbrs) \n",
    "                if contig and cContig:\n",
    "                    legitSwap = True\n",
    "            if legitSwap:\n",
    "                for u in shedSet:\n",
    "                    unitUse[u] -= HDweight[t] * nDistricts\n",
    "                for u in addSet:\n",
    "                    unitUse[u] += HDweight[t] * nDistricts\n",
    "                HDunitList[t] = list(trySet)\n",
    "                HDvPop[t] = np.sum([ unitPop[u] for u in HDunitList[t] ])\n",
    "                nPatchSuccess +=1\n",
    "                #print(\"we added\",addSet,\"and shed units\",shedSet,\"from HD\",t)\n",
    "            else:\n",
    "                nPatchFail +=1\n",
    "        else:  #adding neither the UUU cluster or just the UUU worked; couldn't even start\n",
    "            nCouldntStart +=1\n",
    "            # end of shed + add patching on this HD\n",
    "            #print(\"shed and patched for HD, OUU\",t,OUU)\n",
    "\n",
    "    print(\"all done trying to increase usage of unit\",UUU,\"final usage =\",r5(unitUse[UUU]),int(time.time()-startTime),\"sec elapsed\",\n",
    "         nPatchSuccess,nPatchFail,\"successful, failed patches, couldn't start=\",nCouldntStart)\n",
    "    currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "    print(\"current avg and SD of usage are\",r5(currAvg), r5(currSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e2377b41-61df-4f0d-9d87-a0557362328d",
   "metadata": {},
   "outputs": [],
   "source": [
    ".99959 0.09151  8:44 0.08996"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "id": "861f29d3-b727-49af-90a8-aa9a963e0741",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 1.00145 1.00145 and their SDs are 0.11649 0.08177\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 8941\n",
      "working on HD 300 out of 8941\n",
      "working on HD 600 out of 8941\n",
      "working on HD 900 out of 8941\n",
      "working on HD 1200 out of 8941\n",
      "working on HD 1500 out of 8941\n",
      "working on HD 1800 out of 8941\n",
      "working on HD 2100 out of 8941\n",
      "working on HD 2400 out of 8941\n",
      "working on HD 2700 out of 8941\n",
      "working on HD 3000 out of 8941\n",
      "working on HD 3300 out of 8941\n",
      "working on HD 3600 out of 8941\n",
      "working on HD 3900 out of 8941\n",
      "working on HD 4200 out of 8941\n",
      "working on HD 4500 out of 8941\n",
      "working on HD 4800 out of 8941\n",
      "working on HD 5100 out of 8941\n",
      "working on HD 5400 out of 8941\n",
      "working on HD 5700 out of 8941\n",
      "working on HD 6000 out of 8941\n",
      "working on HD 6300 out of 8941\n",
      "working on HD 6600 out of 8941\n",
      "working on HD 6900 out of 8941\n",
      "working on HD 7200 out of 8941\n",
      "working on HD 7500 out of 8941\n",
      "working on HD 7800 out of 8941\n",
      "working on HD 8100 out of 8941\n",
      "working on HD 8400 out of 8941\n",
      "working on HD 8700 out of 8941\n",
      "all done checking HD and complement contiguity for all 8941 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "for t in popHDlist:\n",
    "    if t%300 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "1ee72cf0-618e-411f-aa37-518ac2c679ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "#optional intermediate save\n",
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"RedounderPatched.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "id": "77c07848-50c2-4fe9-8841-768b02bf4ac4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "default use threshold for moving on to next overused unit is 1.12\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated stopMaxUse value 1.03\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are currently 3619 units out of 9770 with usage above 1.03\n",
      "maxExchangePop is currently 0.05 fraction of avgDistrictPop\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter updated maxExchangePop fraction 0.05\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this block reduces overuse, with exchanges up to 39331\n",
      "current avg and SD of unit usage are 1.00145 0.08177 . Now trying to reduce up to 3619 units' overusage\n",
      "starting to reduce usage for unit 514 with usage 1.30149 . Total units tried = 1\n",
      "try to drop unit 514 from 56 th HD.  usage down to 1.2738481495066813\n",
      "try to drop unit 514 from 112 th HD.  usage down to 1.2654350440800544\n",
      "try to drop unit 514 from 168 th HD.  usage down to 1.2519865336073617\n",
      "try to drop unit 514 from 224 th HD.  usage down to 1.2299088059034875\n",
      "try to drop unit 514 from 280 th HD.  usage down to 1.226220921521098\n",
      "all done trying to reduce usage of unit 514 final usage = 1.2253 199 sec elapsed 45 0 successful, failed patches, couldn't start= 240\n",
      "current avg and SD of usage are 1.00144 0.08092\n",
      "starting to reduce usage for unit 8829 with usage 1.28445 . Total units tried = 2\n",
      "try to drop unit 8829 from 48 th HD.  usage down to 1.2224160825151207\n",
      "try to drop unit 8829 from 96 th HD.  usage down to 1.1544603611966329\n",
      "try to drop unit 8829 from 144 th HD.  usage down to 1.08722416506272\n",
      "all done trying to reduce usage of unit 8829 final usage = 1.02935 1262 sec elapsed 140 0 successful, failed patches, couldn't start= 49\n",
      "current avg and SD of usage are 1.00141 0.07844\n",
      "starting to reduce usage for unit 510 with usage 1.25383 . Total units tried = 3\n",
      "try to drop unit 510 from 58 th HD.  usage down to 1.1737680440644431\n",
      "try to drop unit 510 from 116 th HD.  usage down to 1.1048525320845612\n",
      "all done trying to reduce usage of unit 510 final usage = 1.02848 2228 sec elapsed 128 0 successful, failed patches, couldn't start= 43\n",
      "current avg and SD of usage are 1.00139 0.0763\n",
      "starting to reduce usage for unit 2230 with usage 1.28152 . Total units tried = 4\n",
      "try to drop unit 2230 from 43 th HD.  usage down to 1.2508284285841844\n",
      "try to drop unit 2230 from 86 th HD.  usage down to 1.2194464520713875\n",
      "try to drop unit 2230 from 129 th HD.  usage down to 1.194964798353351\n",
      "try to drop unit 2230 from 172 th HD.  usage down to 1.183458751629809\n",
      "try to drop unit 2230 from 215 th HD.  usage down to 1.1537662609302441\n",
      "all done trying to reduce usage of unit 2230 final usage = 1.15377 6832 sec elapsed 66 0 successful, failed patches, couldn't start= 149\n",
      "current avg and SD of usage are 1.00139 0.07539\n",
      "starting to reduce usage for unit 3017 with usage 1.22947 . Total units tried = 5\n",
      "try to drop unit 3017 from 48 th HD.  usage down to 1.2294727685567073\n",
      "try to drop unit 3017 from 96 th HD.  usage down to 1.2294727685567073\n",
      "try to drop unit 3017 from 144 th HD.  usage down to 1.2294727685567073\n",
      "try to drop unit 3017 from 192 th HD.  usage down to 1.2294727685567073\n",
      "try to drop unit 3017 from 240 th HD.  usage down to 1.2294727685567073\n",
      "all done trying to reduce usage of unit 3017 final usage = 1.22947 6882 sec elapsed 0 0 successful, failed patches, couldn't start= 245\n",
      "current avg and SD of usage are 1.00139 0.07539\n",
      "starting to reduce usage for unit 3018 with usage 1.22947 . Total units tried = 6\n",
      "try to drop unit 3018 from 27 th HD.  usage down to 1.182504045952055\n",
      "try to drop unit 3018 from 54 th HD.  usage down to 1.1350662336069377\n",
      "try to drop unit 3018 from 81 th HD.  usage down to 1.0965932474130016\n",
      "try to drop unit 3018 from 108 th HD.  usage down to 1.0555739556630752\n",
      "all done trying to reduce usage of unit 3018 final usage = 1.0299 7848 sec elapsed 119 2 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00137 0.07353\n",
      "starting to reduce usage for unit 4966 with usage 1.22222 . Total units tried = 7\n",
      "try to drop unit 4966 from 31 th HD.  usage down to 1.1687593351824828\n",
      "try to drop unit 4966 from 62 th HD.  usage down to 1.1189748028891098\n",
      "try to drop unit 4966 from 93 th HD.  usage down to 1.0746756966936386\n",
      "all done trying to reduce usage of unit 4966 final usage = 1.02996 8924 sec elapsed 93 0 successful, failed patches, couldn't start= 29\n",
      "current avg and SD of usage are 1.00135 0.07191\n",
      "starting to reduce usage for unit 63 with usage 1.21212 . Total units tried = 8\n",
      "try to drop unit 63 from 16 th HD.  usage down to 1.181522644110114\n",
      "try to drop unit 63 from 32 th HD.  usage down to 1.1536976136510613\n",
      "try to drop unit 63 from 48 th HD.  usage down to 1.1255649416820022\n",
      "try to drop unit 63 from 64 th HD.  usage down to 1.0946940060246715\n",
      "try to drop unit 63 from 80 th HD.  usage down to 1.0675973994715529\n",
      "all done trying to reduce usage of unit 63 final usage = 1.06328 9829 sec elapsed 81 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00133 0.07052\n",
      "starting to reduce usage for unit 2491 with usage 1.21053 . Total units tried = 9\n",
      "try to drop unit 2491 from 26 th HD.  usage down to 1.1945986795315258\n",
      "try to drop unit 2491 from 52 th HD.  usage down to 1.1908446903618637\n",
      "try to drop unit 2491 from 78 th HD.  usage down to 1.1839202138948304\n",
      "try to drop unit 2491 from 104 th HD.  usage down to 1.1673546084529505\n",
      "try to drop unit 2491 from 130 th HD.  usage down to 1.1468252582664005\n",
      "all done trying to reduce usage of unit 2491 final usage = 1.14258 10778 sec elapsed 36 6 successful, failed patches, couldn't start= 91\n",
      "current avg and SD of usage are 1.00133 0.06992\n",
      "starting to reduce usage for unit 6374 with usage 1.20541 . Total units tried = 10\n",
      "try to drop unit 6374 from 40 th HD.  usage down to 1.1430115205388902\n",
      "try to drop unit 6374 from 80 th HD.  usage down to 1.071226806542098\n",
      "all done trying to reduce usage of unit 6374 final usage = 1.02995 11222 sec elapsed 100 0 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00131 0.06828\n",
      "starting to reduce usage for unit 295 with usage 1.19446 . Total units tried = 11\n",
      "try to drop unit 295 from 28 th HD.  usage down to 1.1441899654967524\n",
      "try to drop unit 295 from 56 th HD.  usage down to 1.104792783526888\n",
      "try to drop unit 295 from 84 th HD.  usage down to 1.0582359445968001\n",
      "all done trying to reduce usage of unit 295 final usage = 1.02924 12084 sec elapsed 94 1 successful, failed patches, couldn't start= 10\n",
      "current avg and SD of usage are 1.00129 0.0669\n",
      "starting to reduce usage for unit 2318 with usage 1.18022 . Total units tried = 12\n",
      "try to drop unit 2318 from 51 th HD.  usage down to 1.1665193998905719\n",
      "try to drop unit 2318 from 102 th HD.  usage down to 1.1564435048148003\n",
      "try to drop unit 2318 from 153 th HD.  usage down to 1.1463892209194826\n",
      "try to drop unit 2318 from 204 th HD.  usage down to 1.133592859598173\n",
      "try to drop unit 2318 from 255 th HD.  usage down to 1.1015574626880804\n",
      "all done trying to reduce usage of unit 2318 final usage = 1.10141 12267 sec elapsed 54 0 successful, failed patches, couldn't start= 202\n",
      "current avg and SD of usage are 1.00129 0.06612\n",
      "starting to reduce usage for unit 1133 with usage 1.16749 . Total units tried = 13\n",
      "try to drop unit 1133 from 42 th HD.  usage down to 1.097184376760582\n",
      "try to drop unit 1133 from 84 th HD.  usage down to 1.0370366478159827\n",
      "all done trying to reduce usage of unit 1133 final usage = 1.02978 12425 sec elapsed 75 7 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00127 0.06503\n",
      "starting to reduce usage for unit 625 with usage 1.1513 . Total units tried = 14\n",
      "try to drop unit 625 from 41 th HD.  usage down to 1.1341865314377289\n",
      "try to drop unit 625 from 82 th HD.  usage down to 1.1288002625207416\n",
      "try to drop unit 625 from 123 th HD.  usage down to 1.1188553057736133\n",
      "try to drop unit 625 from 164 th HD.  usage down to 1.1147885901103038\n",
      "try to drop unit 625 from 205 th HD.  usage down to 1.1117655673383904\n",
      "all done trying to reduce usage of unit 625 final usage = 1.11177 12519 sec elapsed 21 0 successful, failed patches, couldn't start= 184\n",
      "current avg and SD of usage are 1.00127 0.0647\n",
      "starting to reduce usage for unit 493 with usage 1.14904 . Total units tried = 15\n",
      "try to drop unit 493 from 51 th HD.  usage down to 1.1197706028282093\n",
      "try to drop unit 493 from 102 th HD.  usage down to 1.0852232240016766\n",
      "try to drop unit 493 from 153 th HD.  usage down to 1.0589262311254002\n",
      "all done trying to reduce usage of unit 493 final usage = 1.02887 12966 sec elapsed 64 0 successful, failed patches, couldn't start= 116\n",
      "current avg and SD of usage are 1.00126 0.06377\n",
      "starting to reduce usage for unit 515 with usage 1.2253 . Total units tried = 16\n",
      "try to drop unit 515 from 35 th HD.  usage down to 1.168155493375642\n",
      "try to drop unit 515 from 70 th HD.  usage down to 1.1069183066869108\n",
      "try to drop unit 515 from 105 th HD.  usage down to 1.0586160471235797\n",
      "all done trying to reduce usage of unit 515 final usage = 1.02946 13689 sec elapsed 107 0 successful, failed patches, couldn't start= 17\n",
      "current avg and SD of usage are 1.00125 0.06248\n",
      "starting to reduce usage for unit 2673 with usage 1.14896 . Total units tried = 17\n",
      "try to drop unit 2673 from 34 th HD.  usage down to 1.096579263708029\n",
      "try to drop unit 2673 from 68 th HD.  usage down to 1.0505703317647643\n",
      "all done trying to reduce usage of unit 2673 final usage = 1.02996 14032 sec elapsed 76 0 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00124 0.06151\n",
      "starting to reduce usage for unit 9011 with usage 1.14612 . Total units tried = 18\n",
      "try to drop unit 9011 from 14 th HD.  usage down to 1.1259221617824902\n",
      "try to drop unit 9011 from 28 th HD.  usage down to 1.1077484302655611\n",
      "try to drop unit 9011 from 42 th HD.  usage down to 1.0899281051113685\n",
      "try to drop unit 9011 from 56 th HD.  usage down to 1.0767567262468634\n",
      "try to drop unit 9011 from 70 th HD.  usage down to 1.0579855091526427\n",
      "all done trying to reduce usage of unit 9011 final usage = 1.05509 14358 sec elapsed 54 2 successful, failed patches, couldn't start= 15\n",
      "current avg and SD of usage are 1.00124 0.06073\n",
      "starting to reduce usage for unit 2502 with usage 1.14279 . Total units tried = 19\n",
      "try to drop unit 2502 from 36 th HD.  usage down to 1.0997904308744477\n",
      "try to drop unit 2502 from 72 th HD.  usage down to 1.0502982851401732\n",
      "all done trying to reduce usage of unit 2502 final usage = 1.02907 15028 sec elapsed 66 1 successful, failed patches, couldn't start= 20\n",
      "current avg and SD of usage are 1.00123 0.05985\n"
     ]
    }
   ],
   "source": [
    "#SECOND PATCHING BLOCK -- OVERUSERS.  applies a suppression of LONG STRINGS.  run second for most states except MA\n",
    "maxSD = 0.06 #0.06  #0.08  #0.04\n",
    "stopMaxUse = 1.+  2.* maxSD  #0.5*maxSD  #don't be too aggressive; may create long chains\n",
    "print(\"default use threshold for moving on to next overused unit is\",r5(stopMaxUse) )\n",
    "stopMaxUse = float(input(\"enter updated stopMaxUse value\"))\n",
    "nInPlay = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > stopMaxUse:\n",
    "        nInPlay +=1\n",
    "print(\"there are currently\",nInPlay,\"units out of\",nUnits,\"with usage above\",stopMaxUse)\n",
    "nBigUsers = 5\n",
    "maxExchangePop = 0.05*aDP\n",
    "print(\"maxExchangePop is currently\",r5(maxExchangePop/aDP),\"fraction of avgDistrictPop\")\n",
    "newMEPratio = float(input(\"Enter updated maxExchangePop fraction\"))\n",
    "maxExchangePop = newMEPratio*aDP \n",
    "print(\"this block reduces overuse, with exchanges up to\",int(maxExchangePop)) #1/25/24\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "maxNtries = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > stopMaxUse:\n",
    "        maxNtries +=1\n",
    "#maxNtries = int(currSD * nUnits / nDistricts)   #try up to about 10% of the districts a unit is drawn into\n",
    "#maxNtries = 10 #overrirde\n",
    "currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "attemptedBigUs = list()\n",
    "print(\"current avg and SD of unit usage are\",r5(currAvg), r5(currSD),\". Now trying to reduce up to\",maxNtries,\"units' overusage\" )\n",
    "startTime = time.time()\n",
    "while currSD > maxSD and len(attemptedBigUs) < maxNtries: \n",
    "    #each round, find the (5) most overused not-yet-tried units. Pick the unit w/ most overuse of it + 1-nbrs\n",
    "    idx = np.argsort(unitUse)\n",
    "    idxNo, nBigFound, bigUsers = 0,0,list()\n",
    "    while nBigFound < nBigUsers:\n",
    "        consideredBigU = idx[-idxNo-1]\n",
    "        if consideredBigU not in attemptedBigUs:\n",
    "            bigUsers.append(consideredBigU)\n",
    "            nBigFound +=1\n",
    "        idxNo +=1\n",
    "    OUUclusters = [ [b] + unitNbrs[b] for b in bigUsers ]\n",
    "    bigOverUse = [np.sum([(unitUse[j] - 1.) for j in OUUclusters[i] ]) for i in range(nBigUsers) ]\n",
    "    bigI = bigOverUse.index(np.max(bigOverUse))\n",
    "    OUU = bigUsers[ bigI ]  #pick the unit that centers cluster with most overuse\n",
    "    attemptedBigUs.append(OUU)  #so we don't try this unit again in a future loop\n",
    "    OUUc = OUUclusters[bigI]  #the list of this unit and ALL its neighbors (to be curated below ...)\n",
    "    print(\"starting to reduce usage for unit\",OUU,\"with usage\",r5(unitUse[OUU]),\". Total units tried =\",len(attemptedBigUs) )\n",
    "    for u in OUUc.copy():\n",
    "        if unitUse[u] < 1.:\n",
    "            OUUc.remove(u)  #...drop any underused neighbors of the primary OUU from the target sheddable cluster\n",
    "    OUU2nbrSet = set( unitNbrs[OUU])\n",
    "    for u in OUUc:\n",
    "        OUU2nbrSet = OUU2nbrSet.union(set(unitNbrs[u])) \n",
    "    for u in OUUc:\n",
    "        OUU2nbrSet = OUU2nbrSet.difference({u})\n",
    "    ouuHDs, ouuDists = list(), list()\n",
    "    for t in popHDlist:  #finding all HDs with at least one cluster member on the boundary\n",
    "        if OUU in HDunitList[t]:\n",
    "            HDadjoinSet = set( getAdjoiners(HDunitList[t],unitNbrs) )\n",
    "            if len(HDadjoinSet.intersection(OUU2nbrSet) ) > 0: #the OUU or one of its overused 1-neighbors adjoins the complement\n",
    "                ouuHDs.append(t)  #so we can shed the OOUc to the complement\n",
    "                ouuDists.append( unitCP[OUU].distance(hdCP[t]) / avgDist[t] )\n",
    "    nPatchSuccess, nPatchFail, nCouldntStart, idxNo, idx0 = 0, 0, 0, 0, np.argsort(ouuDists)\n",
    "    while unitUse[OUU] > stopMaxUse and idxNo > -0.5*len(ouuHDs): #arbitrarily only examine 50% of HDs, biasing farthest ones\n",
    "        idxNo -=1\n",
    "        if idxNo % int(0.1*len(ouuHDs)) == 0:\n",
    "            print(\"try to drop unit\",OUU,\"from\",abs(idxNo),\"th HD.  usage down to\",unitUse[OUU] )\n",
    "        t = ouuHDs[idx0[idxNo]]\n",
    "        trySet = set(HDunitList[t]).difference(set(OUUc))\n",
    "        contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        if not (contig and complementContig):  #dropping the cluster creates a problem (likely an HD discontig).  Try something simpler ...\n",
    "            if len(set(unitNbrs[OUU]).intersection(HDadjoinSet) )  > 0:  #Yay! The OUU itself on border.  Try dropping just it, not the full cluster\n",
    "                HDouuSet = {OUU}\n",
    "                trySet = set(HDunitList[t]).difference( {OUU} )\n",
    "                contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        else:\n",
    "            HDouuSet = set(HDunitList[t]).intersection(set(OUUc))\n",
    "        if contig and complementContig:  #we can at least drop the cluster, let's go for more\n",
    "            #HDouuSet = set(HDunitList[t]).intersection(set(OUUc))  #the subset of the OUU cluster that's in this HD.  Defined above\n",
    "            HDouuCpop = np.sum([unitPop[u] for u in HDouuSet])\n",
    "            giveUpOnShedding = False            \n",
    "            shedCandidates, shedScores = list(), list()\n",
    "            bdryCandidates = getBdryNonEdgers(trySet, unitNbrs)  #new - any boundary unit can be shed, even if far from OUUc\n",
    "            for u in bdryCandidates:\n",
    "                if HDouuCpop + unitPop[u] <= maxExchangePop:\n",
    "                    shedCandidates.append(u)\n",
    "                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])  #bias toward far, overused\n",
    "            if len(shedCandidates) == 0:\n",
    "                giveUpOnShedding = True\n",
    "            while HDouuCpop < maxExchangePop and not giveUpOnShedding:\n",
    "                idx, ij, notYetPicked = np.argsort(shedScores), 0, True\n",
    "                while ij < len(shedScores) and notYetPicked:\n",
    "                    listNo = idx[-1-ij]   #work from high to low score\n",
    "                    shedU = shedCandidates[listNo]\n",
    "                    if shedScores[listNo] <= 0:  #we're delving into the underused; stop adding to shed list\n",
    "                        break\n",
    "                    contig,cContig, __, ___ = enclaveCheck(list(trySet.difference({shedU}) ), unitNbrs)\n",
    "                    if contig and cContig:\n",
    "                        notYetPicked = False\n",
    "                        HDouuCpop += unitPop[shedU]\n",
    "                        #print(\"shedding unit\",shedU,\"from HD\",t,\"total shed Pop now\", HDouuCpop)\n",
    "                        HDouuSet.add(shedU)\n",
    "                        trySet.remove(shedU)\n",
    "                        del shedScores[shedCandidates.index(shedU)]\n",
    "                        del shedCandidates[shedCandidates.index(shedU)]\n",
    "                        newSheddables = set(unitNbrs[shedU]).intersection(trySet)\n",
    "                        for u in newSheddables:\n",
    "                            if HDouuCpop + unitPop[u] <= maxExchangePop and u not in shedCandidates:\n",
    "                                shedCandidates.append(u)\n",
    "                                shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnShedding = True  #all candidates would create a discontig, so can't shed any more units\n",
    "            shedSet = HDouuSet.copy()  #set(OUUc).intersection(set(HDunitList[t]))\n",
    "            trySet = set(HDunitList[t]).difference(shedSet) \n",
    "            gap = aDP - np.sum([unitPop[u] for u in trySet])\n",
    "            nearHDlist, nearHDscore = list(), list()  #these will be dynamic lists of the nearby underused units\n",
    "            for u in trySet:\n",
    "                for uu in unitNbrs[u]:\n",
    "                    if uu not in HDunitList[t] and uu not in nearHDlist and unitPop[uu] < gap + maxGap and unitUse[uu] < 1.01:\n",
    "                        nearHDlist.append(uu)\n",
    "                        nearHDscore.append(5.*(unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )\n",
    "                        #bias toward UNDERUSED, close\n",
    "            addedSet = set( )    \n",
    "            stillGoing = True \n",
    "            while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "                nearHDscore2 = nearHDscore.copy()\n",
    "                for ij, uu in enumerate(nearHDlist):\n",
    "                    nHDnbrs = len( set(unitNbrs[uu]).intersection(trySet) )\n",
    "                    if nHDnbrs == 1 :  #BIAS AGAINST CREATING A SLIM CHAIN\n",
    "                        nearHDscore2[ij] *= 0.5   #make this score closer to zero (less negative)  #NEW FOR GA 3/11/24\n",
    "                idx, ij, notYetPicked = np.argsort(nearHDscore2), 0, True   #originally, used nearHDscore itself here\n",
    "                while ij < len(nearHDscore) and notYetPicked:        \n",
    "                    listNo = idx[ij]   #nearHDscore.index(np.min(nearHDscore))\n",
    "                    unitNoToAdd = nearHDlist[listNo]  #add this unit ...                            \n",
    "                    canAdd  = wontEnclave(unitNoToAdd, list(trySet), unitNbrs, borderUnits)\n",
    "                    if canAdd:\n",
    "                        notYetPicked = False\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    stillGoing = False  #can't add any more units; we can't without creating an enclave\n",
    "                else:\n",
    "                    gap -= unitPop[unitNoToAdd]\n",
    "                    addedSet.add(unitNoToAdd)\n",
    "                    trySet.add( unitNoToAdd)\n",
    "                    for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                        if uu not in trySet and uu not in nearHDlist and unitPop[uu] < gap + maxGap and unitUse[uu] < 1.01:  \n",
    "                            nearHDlist.append(uu)\n",
    "                            nearHDscore.append(5.* (unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] ) \n",
    "                            #bias toward UNDERUSED, ~close\n",
    "                    del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "                    del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "                    for ijj, uu in enumerate(nearHDlist.copy()):\n",
    "                        if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                            del nearHDscore[nearHDlist.index(uu)]\n",
    "                            del nearHDlist[ nearHDlist.index(uu)]\n",
    "            currPop = np.sum([unitPop[u] for u in trySet])\n",
    "            if abs(currPop - aDP) <= 2.* maxGap:\n",
    "                for u in shedSet:\n",
    "                    unitUse[u] -= HDweight[t] * nDistricts\n",
    "                for u in addedSet:\n",
    "                    unitUse[u] += HDweight[t] * nDistricts\n",
    "                HDunitList[t] = list(trySet)\n",
    "                HDvPop[t]    = currPop\n",
    "                nPatchSuccess +=1\n",
    "            else:\n",
    "                nPatchFail +=1\n",
    "            # end of shed + add patching on this HD\n",
    "            #print(\"shed and patched for HD, OUU\",t,OUU)\n",
    "        else:\n",
    "            nCouldntStart +=1\n",
    "            #print(\"Due to discontiguity, can't drop OUU cluster for HD, OUU\", t, OUU)\n",
    "    print(\"all done trying to reduce usage of unit\",OUU,\"final usage =\",r5(unitUse[OUU]),int(time.time()-startTime),\"sec elapsed\",\n",
    "         nPatchSuccess,nPatchFail,\"successful, failed patches, couldn't start=\",nCouldntStart)\n",
    "    currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "    print(\"current avg and SD of usage are\",r5(currAvg), r5(currSD) )\n",
    "            \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "92f90621-e7fc-4891-a5cd-69033c3c48e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "#NOTE: for Ohio above, was running while computer multitasking\n",
    "#copy one of two above blocks and run again if needed (n/a for NC)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "id": "cb60da52-ca13-45dd-8bf0-475213183a0d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "overused units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "underused units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"overused units\")\n",
    "maxPlot = 1.06\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > maxPlot:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(round(unitUse[u],2),unitGeom[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"underused units\")\n",
    "minPlot = 0.94\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < minPlot:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(round(unitUse[u],2),unitGeom[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "id": "0d4f1372-6044-4803-91d9-de4b95a40083",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 1.00145 1.00123 and their SDs are 0.11649 0.05985\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 8941\n",
      "working on HD 300 out of 8941\n",
      "working on HD 600 out of 8941\n",
      "working on HD 900 out of 8941\n",
      "working on HD 1200 out of 8941\n",
      "working on HD 1500 out of 8941\n",
      "working on HD 1800 out of 8941\n",
      "working on HD 2100 out of 8941\n",
      "working on HD 2400 out of 8941\n",
      "working on HD 2700 out of 8941\n",
      "working on HD 3000 out of 8941\n",
      "working on HD 3300 out of 8941\n",
      "working on HD 3600 out of 8941\n",
      "working on HD 3900 out of 8941\n",
      "working on HD 4200 out of 8941\n",
      "working on HD 4500 out of 8941\n",
      "working on HD 4800 out of 8941\n",
      "working on HD 5100 out of 8941\n",
      "working on HD 5400 out of 8941\n",
      "working on HD 5700 out of 8941\n",
      "working on HD 6000 out of 8941\n",
      "working on HD 6300 out of 8941\n",
      "working on HD 6600 out of 8941\n",
      "working on HD 6900 out of 8941\n",
      "working on HD 7200 out of 8941\n",
      "working on HD 7500 out of 8941\n",
      "working on HD 7800 out of 8941\n",
      "working on HD 8100 out of 8941\n",
      "working on HD 8400 out of 8941\n",
      "working on HD 8700 out of 8941\n",
      "all done checking HD and complement contiguity for all 8941 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "for t in popHDlist:\n",
    "    if t%300 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "id": "ac9cd133-94f0-494b-ac74-0c584482d97e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"redoSD0p06Patched.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "id": "26b87c95-101f-4f8f-bb73-feb1827ac6b5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if there were NO fragmented VTDs 0\n"
     ]
    }
   ],
   "source": [
    "noFrag = int(input(\"enter 1 if there were NO fragmented VTDs\"))\n",
    "if noFrag == 1:\n",
    "    nFragmentedVTDs,fragmentedVTDs = 0, list()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "ec102553-e4f3-4010-86bc-725a01b95788",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter([v for v in range(len(parentVTDno))],parentVTDno)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "id": "55d64c64-b473-49d0-b863-d4123cbb9b6c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "for v in range(nVTDs):\n",
    "    if MAP.contains(vtdGeom[v].centroid) and v not in parentVTDno:\n",
    "        print(\"Uhoh,\",v,\"is in the map but not in the parent vtd list\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "ecd50c96-51ce-4d83-b0df-e8c645c35815",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "after above patching, write these contiguous lists to a file, converting to vtd lists\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if there were NO fragmented VTDs 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on full or partial VTD master list for unit 0\n",
      "working on full or partial VTD master list for unit 2000\n",
      "working on full or partial VTD master list for unit 4000\n",
      "working on full or partial VTD master list for unit 6000\n",
      "working on full or partial VTD master list for unit 8000\n",
      "Now converting unit lists to vtd lists for all HDs\n"
     ]
    }
   ],
   "source": [
    "#THIS WORKS FOR BOTH VTD- AND UNIT-BASED (FRAG VTD) -- **NOTE: DOES NOT ADD IN CUT DISTRICTS AND REBALANCE WEIGHTS\n",
    "print(\"after above patching, write these contiguous lists to a file, converting to vtd lists\")\n",
    "noFrag = int(input(\"enter 1 if there were NO fragmented VTDs\"))  #for simple states where units are at least whole vtd's\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "unitVTDlist, unitFragVTDlist, unitVTDfrac = [list() for u in range(nUnits)], [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "unitFullVTDlist, unitPartialVTDlist =       [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "\n",
    "for u in range(nUnits):\n",
    "    if u %2000 == 0:\n",
    "        print(\"working on full or partial VTD master list for unit\",u)\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "        unitFullVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "            unitFullVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        if noFrag == 1:\n",
    "            unitVTDlist[u].append(allUnits[u] )\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitVTDlist[u].append(surroundedVTDs[i])\n",
    "        else:\n",
    "            unitFragVTDlist[u].append(allUnits[u])\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitFragVTDlist[u].append(surroundedVTDs[i])\n",
    "            vtdFrac = [0. for V in range(nVTDs)]\n",
    "            for vv in unitFragVTDlist[u]:\n",
    "                V = parentVTDno[vv]\n",
    "                if len(VTDchildren[V]) == 1:  #nonfragmented vtd\n",
    "                    vtdFrac[V] = 1.\n",
    "                else:\n",
    "                    if tractPop[V] > 0:\n",
    "                        vtdFrac[V] += fragVTDgeom[vv].area / vtdGeom[V].area #fragVTDpop[uu] / tractPop[v]  #we overwrote the frag pops earlier; can't use\n",
    "            for v in range(nVTDs):\n",
    "                if vtdFrac[v] > 0.0001:\n",
    "                    if vtdFrac[v] > 0.999:\n",
    "                        unitFullVTDlist[u].append(v)\n",
    "                    else:\n",
    "                        unitPartialVTDlist[u].append(v)\n",
    "                        unitVTDfrac[u].append(vtdFrac[v] )\n",
    "                                    \n",
    "HDpartialVTDlist, HDfullVTDlist, HDvtdFrac = [list() for t in range(nHDs)] ,[list() for t in range(nHDs)],[list() for t in range(nHDs)]               \n",
    "print(\"Now converting unit lists to vtd lists for all HDs\")\n",
    "if noFrag == 1:\n",
    "    for t in popHDlist:\n",
    "        for u in HDunitList[t]:\n",
    "            vtdList[t] += unitVTDlist[u]\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":vtdList,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "else:\n",
    "    for t in popHDlist:\n",
    "        partialList, partialFrac = list(), list()  #for many HDs, we'll recover whole VTDs when aggregating units\n",
    "        for u in HDunitList[t]:\n",
    "            HDfullVTDlist[t] +=   unitFullVTDlist[u] \n",
    "            partialList +=         unitPartialVTDlist[u]\n",
    "            partialFrac +=          unitVTDfrac[u]\n",
    "        partialSet = set(partialList)  #non-duplicated set of partials across the HD, prepping to aggregate where possible\n",
    "        partialSetFrac, partialSetList = [0. for v in partialSet], list(partialSet)\n",
    "        for i,v in enumerate(partialList):\n",
    "            partialSetFrac[partialSetList.index(v)] += partialFrac[i]\n",
    "        for i,v in enumerate(partialSetList):\n",
    "            if partialSetFrac[i] > 0.999:  #the district has all the fragments of the original VTD contained in the HD's units\n",
    "                HDfullVTDlist[t].append(v)\n",
    "            else:\n",
    "                HDpartialVTDlist[t].append(v)\n",
    "                HDvtdFrac[t].append(      r5(partialSetFrac[i]) )  #save the aggregated fraction of this VTD across all units\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":HDfullVTDlist,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"redoPatchedVTDs.csv\"   #patchDown, PatchUp, PatchBoth\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "id": "5075814f-4a75-4807-ad8d-b3cc969cb470",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8941 8941 8941 8941 8941 8941\n"
     ]
    }
   ],
   "source": [
    "\n",
    "HDweight = HDweight[0:nHDs]\n",
    "HDvPop = HDvPop[0:nHDs]\n",
    "HDweight = HDweight[0:nHDs]\n",
    "HDfullVTDlist = HDfullVTDlist[0:nHDs]\n",
    "HDpartialVTDlist = HDpartialVTDlist[0:nHDs]\n",
    "HDvtdFrac = HDvtdFrac[0:nHDs]\n",
    "hdCPx, hdCPy = hdCPx[0:nHDs], hdCPy[0:nHDs]\n",
    "print(nHDs,len(tList), len(HDweight), len(HDvPop), len(HDvtdFrac), len(hdCPx) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "id": "e385f357-5b7e-46f5-b054-c5c38d799395",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9999999999999998 8941\n"
     ]
    }
   ],
   "source": [
    "print(np.sum(HDweight), nHDs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "id": "8d922813-2854-41d7-9405-22db5d5d5a59",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now append the cut districts and adjust the HDweights\n",
      "13 1 are the number of HD-drawn and cut districts\n"
     ]
    }
   ],
   "source": [
    "print(\"Now append the cut districts and adjust the HDweights\")\n",
    "print(nDistricts,nCutDistricts,\"are the number of HD-drawn and cut districts\")\n",
    "HDweight = [nDistricts/float(nCutDistricts + nDistricts) * HDweight[t] for t in range(nHDs)]\n",
    "tList = [t for t in range(nHDs)]\n",
    "if type(hdCPx) != type(list()):\n",
    "    hdCPx, hdCPy = hdCPx.to_list(), hdCPy.to_list()\n",
    "for L in allCutLists:\n",
    "    tList.append(len(tList))\n",
    "    HDweight.append(1./(nCutDistricts + nDistricts))\n",
    "    pop = np.sum([tractPop[v] for v in L])\n",
    "    HDvPop.append(pop )\n",
    "    HDfullVTDlist.append(L)\n",
    "    HDpartialVTDlist.append(list() )\n",
    "    HDvtdFrac.append(list() )\n",
    "    hdCPx.append(np.sum([tractPop[v]*tractCPx[v] for v in L]) / pop )\n",
    "    hdCPy.append(np.sum([tractPop[v]*tractCPy[v] for v in L]) / pop )\n",
    "    \n",
    "\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":HDfullVTDlist,\"partials\":HDpartialVTDlist,\n",
    "                        \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"patchedWithCutsVTDs.csv\"   #patchDown, PatchUp, PatchBoth\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "id": "b0b611f7-6c35-495d-b38c-c848317d63ab",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9999999999999998\n"
     ]
    }
   ],
   "source": [
    "print(np.sum(HDweight))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "id": "b9d808de-119f-4197-8e0c-8407c105d789",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vtdUSE = [0. for v in range(nVTDs)]\n",
    "for u in range(nUnits):\n",
    "    for v in unitFullVTDlist[u]:\n",
    "        vtdUSE[v] += 1\n",
    "    for i,v in enumerate(unitPartialVTDlist[u]):\n",
    "        vtdUSE[v] += unitVTDfrac[u][i]\n",
    "\n",
    "plt.scatter([v for v in range(nVTDs)], vtdUSE)\n",
    "plt.show()\n",
    "unused = list()\n",
    "for v in range(nVTDs):\n",
    "    if vtdUSE[v] < 0.2 and MAP.contains(vtdGeom[v].centroid) and tractPop[v] > 0:\n",
    "        unused.append(v)\n",
    "        #print(v,\"in county\",countyNo[v],\"has pop\",tractPop[v],\"and map-total usage of\",vtdUSE[v],\"its surroundedness is\",v in surroundedVTDs)\n",
    "        plotPoly(vtdGeom[v].centroid.buffer(0.1))\n",
    "        plotCenter(v,vtdGeom[v],8)\n",
    "    #if vtdUSE[v] > 0.2 and vtdUSE[v] < 0.95:\n",
    "    #    plotCenter(r3(vtdUSE[v]),vtdGeom[v])\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "id": "3d2a393c-5ab8-4140-80eb-1153c2ef41f9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in range(nUnits):\n",
    "    if unitUse[u]  < 0.9:\n",
    "        plotPoly(unitGeom[u],0.2)\n",
    "        plotCenter(r3(unitUse[u]),unitGeom[u],6)\n",
    "    if  unitUse[u]  > 1.1:\n",
    "        plotPoly(unitGeom[u],1.2)\n",
    "        plotCenter(r3(unitUse[u]),unitGeom[u],6)\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "id": "404935e6-f0de-4b51-9db9-020aa208f852",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "integrity check: vtd-based pops\n",
      "x = n surrounded, y= unit - vtd-based\n"
     ]
    },
    {
     "data": {
      "image/png": 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LdjuHme98j9PnW9AjMQrP/W4IXrl7KBat/wmV1ivnaokKR33LJQpUCAlhFQ2tWL2rDClxZtx5bQ88v/Wo40GGF4wk1kD3AVIroKB+RtqkmZGV48ePY9iwYXj22Wcxc+ZM0e0WLVqExYsXe3xeyZEVKc278rrG45uSaq/5KLzUWBPCw4wu+w03GnBJ4MVZyVGwXeRQaaWiSYQQcQnREQAH1Lf4biwIqHOTD3QfILUCCupnFFhSRlYUD1bmz5+P5cuXe92mpKQE/fr1c3xcXl6OG264ATfeeCPeeOMNr68VGlnp3r27YsGKlOZdhBCiRQYAD1zvOr0MqHOTb7dzGL18m2h5faWno9QKKAJ9HiTI00Dz5s3DjBkzvG7Tq1cvx/+fPXsWY8eOxXXXXYfXX3/d5/7NZjPMZrO/hylIavMuQgjRIg7Aa9+Vwc5xGNcvA9WNrThZ04zntx71uL7xTRNf+v0QwSXNvkZipPQB8jfR1leDRAM6+ilNyM2QHFAE8jyIdIoHK6mpqUhNTWXatry8HGPHjsWwYcPw9ttvw2gMbo06Oc27CCFEq1btOIlVO0563Ya/8c/54IDLdHZGfCSmDs7EusKzLrlzGfFmLJpyteQl1Er0AVI6oHAOxI5VXWA6BpbzoARd5QUtwba8vBw33ngjsrKy8Oyzz+LcuXOOr2VkZATlmKipFiEkVLmnzlVaWwXLLVRabZi1Zj8eHt8XPVOiUdNo89hGiBJ9gJQMjISmxFj4Og9K0FVH0IKVLVu24Pjx4zh+/Di6devm8rVg5fxSUy1CCGHz3Najjv83GjyDHR6f68HSB8jXiIRSDRLl5CaynIfYfivdauQQ6YIWrMyYMcNnbkug+SrIRgghxJO31ZAc2JZQs4xIsBbN9BZQyMlNZFkKrmY+DaFGhi6kNu8ihBDiP35Ewn1Khh+R2FxUAcD7NZq1toyc3EShZo9S9+ucT0Oko2DFDd98K8PiOoyYGB3hqLXCy7REYkJuGliD5PjIcGS67ZcCbEJIZ8aPKLS7Db+02zkUlNbi8/0/47HPi0RHJOD2erFrNEtAAUjpqZSDF+4cjA9mjsTOR8cptl/KjZRHUxVstUJq8y7nCrbNtkv4dH+54H4bWy/hmV8NcCwP5JcSEkJIZyW0QkdKcqvQ6/1pkMjeUylV0hJlpfJpiDAKVkRIad5lCjfi/jG9HEWFvFmyscSlrwflxhBCQgE/oiC38Oau4zUegYmceidK5L0Ecr+kAwUrCpI6Z0k1XQghoSItLtKvwpsrtx93/L8/S4H5vJcH1+xXtKeSWvslHShnRUGsc5G7jp/DV5cTxgghpDMzoCO4GJ6dpFjhTffEW2d8Lsy6wnIUlNZ65MoA/ue9iFFrv4RGVhTFOhe5cnupykdCCCHKCDMA794/AjUXbDhZ0+xSX8UX9xEFpZJLxZYCSynI5k/eizdq7TfU0ciKgvg5S/qVJIR0Fu0ccLjCCqDjGvfy74ciI971wSzTEon/uj7bY7Wj+4hCSqxyfd3cp9VZlz874/Nepg7uivycZMUCCrX2G8poZEVB3uYsCSFEr5ZsLHH8f6YlEk/e1l+w6eFfJvb3PqLAeFGcfWMODAa2UejqxlYqyBYCaGRFYWJzloQQ0hlUNrRi9toDaGhp8xg58DWiUNPE1keob0YcRvVma4ibFhdJBdlCAAUrKpiYl4lv/zwWCyf3xz35Wbh9cJdgHxIhhChCqFAbKym1SHxNqzsn7lJBts6PpoFUILebJyGE6IFQoTYWUmqRSFkKTAXZOj8aWVGYWJIXIYR0NlJHKqT29mFdCixlFIboE42sKMifgkeEkM4h1mSAwWBAo80e7EORxBIVjpenDUPNBRtqGm0uSbVi5IxU8AHIovU/odJ6JYclPd6MRVOulrXEmAqydX4UrChIqYJHhBD9utDGAeDw8Pi+6JkSjbS4SJxvasPstfsBaHeV4PJfD8So3ikAOh683thZpnLpeLGxFXkm5mXigeuzsWpHGTingzYYgJljsqkgm87RNJCCKHmLEMJ7+z9luG1gF+TnJGPSQOHpDLH6JIGUEW/Gq27VVaVO10jBT5VXWl2vl1VW4Xoom4sqMHr5Nty1ajfmfliIu1btxujl2wS3e/27Mrjn/No54PXvygTrrBD9MHAcp9VAn4nVaoXFYkFDQwPi4+ODeiwFpbW4a9XuoB4DIUQ73r9/BEb1SXF87NyhPSspGtPze8IUbkRLWzue3lSMk7XNMBqAb4/WyHq/u0f0QJPtEj4vPOtz23vys3BrXqZjSqXdznlMtWwprmSuCMuCb/YqNgLNj9jsfHQcwowG0aaHfIjE562w7vfZ3wxCTZONqspqhJT7N00DKchXpjshJLQUnKhxBCubiyo88jRW7TiBAd0s+Kak2mNEQI41e04zb3trXqZjJY+3MvXf/nmsYIAlh5R6KMOzk5gLvbHud9qbezzOj6aH9IGCFQVRBVtCiDP75RzbzUUVmLVmv8fXK602VBZXB/SY3PNNxEYvKhtaMWvNfiRER6C++aLj82/sLJN9k5dSD0VKYCNnCp4vw08NBvWBclYUJrbULtMSiYHd2KepUmNNcB+hNBqAgd3iqfcQITphbb2IdjuH+Z8dUnS/tw/ugrtH9kBcpLTnTfd8E19l6gG4BCqAfx2PpdRDkRLYyFmV5E9xOxJ4NLKiAm9L7ZznpnsmR+PaHon4300lqL7Q5nh9WqwJf709D+P6pXsMv/7t68MoKrdC35lGhISGk7VNeGvnCY8bvr8GdLUgt4sFa3azT/sAnitj5Kxg9KfjMT9V7u09+XoorKXxnavdSp2Cl1vcjgQejayoRKxHRpQpDEtuH4D37h+BUb1TMPfjgy6BCgCcu9CGB9fsx7bDVbh/TC/8dWoe7h/TC3/7+jBeE8h2lyPWHI7nfjsIc8b29n9nhBBBO4/XYummw4rvNynGJGvqw31ljNwVjHI7HocZDZgyyPuUy5RBmQgzGiQVevO2eokFreTUPgpWgoRl+NV5eLLtkh2rdpQx79/XH2x4mAFTBnd11FUghOhHhiXKr9Lx/LXF3/LzLB2Pnd+v3c5h/UHvS4jXH6xAu51TrNotCyrDr30UrASJ1C6h7xWcZBpRuX1wFyyc3N/nUGh980VHxr23pxdCiLbwowly/3bdV9z48/efEmuWdC1jmXZyvu6xltvnTczLxM5Hx+GDmSPxwp2D8f4fRyAj3kxl+DsBylkJEqldQk/VNTNtHx8VgZQ4M/O+aQUTIfphgOtogj9/u4r8/XNA9QXlOx47b8tSbt8ZPwXPWzTlairD3wnQyEqQSO0SmpUUzbR9VlK05H37M3xKCAmMTIHRBCWmPvzZx6vfleKHk+yJsHK7I4vlAApxX5E0ITdD0ugM0SYaWQkSKa3SAWB6fk8s3VTidSrIaOjYLsxokLRvQPjp5XxTRzMz52HbxOgInFd4ZQMhocrX39PD4/ugZ0qMy2iCe6XZCbkZLn+7KbFmzPu4EFVWm+y/f9ZGhjuO1WDHMe/buL+f1GuTFN5WJO18dBzz6AzRHgpWgkRql1BTuBEzx2Tjte/Ek2xnjsl2VJaU04HUffgUAG7Jy/QIYB5ae0Dy+RJCOsy+MQd9M+JklbRnWR4MyJv6cP7799XIkJXQ+6nVHdlbcTsq/qZ/1BsoyFgvPrxlm4qxaofr8mXj5doJCybl+rVvsb4lPF/9Nwghvn0wc6THQ4FQXx73GzZrnxzn7f3p68O/HyA/l83foIuV1J5DRBuk3L8pWNEAlguVM19BhZx9swRB1KiREP9kyrxhstyMk2JMeGJyf2RYorw2J5Ty3kJBhS/TR/bANT2TfL6flOuYL6zXJqFAkQQPNTLUGaHpF29M4UbcP6aXYu+/bFOx4PSSnYPj8wsm5VLhJEL8YACwcHJ/WcEDy/Lg2qY2PPzxQQCuoxT+3Jydc1le/vdx7Djmuxu0wWDA1MFdvW4jFAQFqucQ0SdNBCs2mw0jRozAwYMHceDAAQwePDjYh9QpsAy1shSbW7WjDPNu7oeUGLYl0YQQV5mWSEwZlOmRsM7/Pfpamiv1Jqtkngb/MFV8toEpWHFfueg+unO+qQ2z1yqbWyJ3lZEYf0ekAr3fUKCJYOUvf/kLunTpgoMHDwb7UDoN1mQzlmJzdq6jKF2/TLZptrtH9MCpumamCxshndXD4/uiZ0q0zxu0UGfjTEskFk7uj8QYs2N1jhRi/Xv8IWVFIm9zUQUWrS9GpbXVZRuxardyj1nq6kpvlM6nUXu/oSLowcpXX32Fr7/+Gv/85z/x1VdfBftwOgWW8tcPf1SINbtPMz+x/fvoOeYly2v2SGuuRoieua9q4XO95o7vA+BKvomUzsYVDa0eq+6MBkjqC6Z0kz5TuBE39U/DluJq0W1u6p/myDvZXFSBWZcTdJ15Owe5xyx1daUYtVYU0Uol/wU1WKmqqsLMmTPxxRdfIDqareiZzWaDzXblKcNqtap1eLrFUtK65aIdO4+zj3x01FOgkRJC3LnfgPhmgUN6JGLi5aX/Sqygk9vAdNfxc4pMO7TbORSVe7/eFpVbHf3M5n92SNb7APJyS/jidu6jFxmMoxe+HvLERn18Te2w7jfOHIGaJhtND4kIWrDCcRxmzJiBWbNm4ZprrsHJkyeZXrds2TIsXrxY3YPTOUoiIyT4+Bub8xSIEqSOsKzcXur4f3+mHaT09bFznMdokRRyGwtKLc3vTEqPI37Uh2Vqh3W/097cI7oPokK5/fnz58NgMHj9d/jwYfzjH/9AY2MjFixYIGn/CxYsQENDg+PfmTNnlD4F3aMOooQEl/ONrUbhhwc717Gq6LnfDUZSTISk1/LTDpuLvHc+FiJlxU1Baa3k/QPijQXdS+i3e4nWpJTmdz9uKdvxUzvugYj791jOw6M/P6fOSvGRlXnz5mHGjBlet+nVqxe2bduGgoICmM2uK0yuueYaTJs2De+8847ga81ms8driCtfyWaEkMD4qqgCDSq0p0iJM2Pq4K6IijAK5kKI8SeJVcqKm2NVjcz75YnlloiNXiycnIvEGJNiK2uknJ+UKSM5D49qJEjrneLBSmpqKlJTU31u9+KLL+J///d/HR+fPXsWt9xyCz766COMGDFC6cMKKf50Us1OiUa3xGjKTyFEAe8WnFJlv85NCB+4PtujoKM3cpNYpay4udRud5l+YpFxOQCxRJmwrrDc6yqqjgRk1+Rdf6dOpJyflCkjuQ+PSidI613QclZ69Ojh8nFsbCwAICcnB926dQvGIXUqYslmvozunYJJA7pQsEKIRhkNwLCsRAAdow6vf1cmawRV6vSElBU3RgPbSMDjk/ojLd7s1DjV9XoltsxZiL8ra6Scn5QpI38eHvl9EBVyVoh2TMzLxM5Hx+GDmSOx4tcDmF7z2KRcx5MAIUR77Byw79R5r1MRLI5VXfCZ/+GOfwjKcLs+ZFgiXYKEmia2ujBp8R3TWQ0tbZi99oDHg5XUpdpAx9SJlHNyxnp+UovQie1Xyj5CXdDrrPB69uwJnbcp0iRHKf+cZHxdUuW1RsKE3DREmcIAAFMGZXrt8ExIqDMaOuqKFJVbFVmaPGdsDqytl5imjqobW/1eEr1y+3Gs3H5c8vQJy4obpfI/pFJi6oTl/IZnJ3kU8nOXGB3hkijsvt+UWDPmfVyIKqvN70J2oUAzwUooC1QJ5lX3XIuZ734vGLBMyE3Dq3dfg4LSWlRaW/HJvp8Vf39COpPUWBN+PbQbXr274wb0VVGFXzkqo3p35Pqx7CMtLlKx6QE50ye++pkpmf8hh7/fG6n92oQInbf7fhdNudrvQnahgoKVIAt0CeZV91yLlrZ2PL2pGCdrm9EzORqPTcrFt0ervXZ1JYS4qmps87jJywlW3J+gpdzklaDGyhM18j+kUHvqZG9Znc86MvXNF32O8PhbyC6UULASRMEqwRxlCsOS26/ksIgdByHEOw5XbvJyVn3wN+6Fk3Mdo6t3XtsDz209Kvp+/E2edfTi2d8MQsGJGq+rc9RYecJ6I1Y6sBCq06I0Jbs8+1PILpRQsBIkcks7B/I4CCG+Od/kvY0mcIBHnkOGoxuztFV7APvoxag+KcwJr0qPckzMy8S4ful4r+AkTtU1IyspGtPzezr6BwFsdaGkVO2dMihT9Ru90l2elZh26uwoWAkSOaWdg3EchBDfKhtaAPgeTXB/gj7fZMPstQckPSw4P8SwvF9BaS1zkTalRzmEprnf2FnmMrLCEnStvGsIEmPMqLS2YsmGn1DXJD4Fs/5gBf4ysb+qAYuSXZ4JGwpWgkTJYURvfCXv0hp+QvxXc+HKyIWvYX3+4cNbN2Zv3B9ixN5vS3Elcx6aGjdXKdPcrFNGBaW1XgMVIDAPeUp1eSbsKFgJEqWHEYWwJO/SGn5ChN2cmw6O47ClRHy5P6++xfUGyjKs78+oJj+SI/Z+UvLQ1Li5ypnmZpkyCtRDHgstJccGakVpMFGwEiRqDyOyPtUMy0qU3MWVkFCQHm9GFWPH5G+PnMOPPzc4VteZwo0+bx7+3FDrmtpEvyY1D03Jmyt/09x1vEaRDsbuU0aBeMiTQgvJsYFeURosFKwEiT/DiL6iaClPNftOnadAhRAB7+0+zbxt0VkrAGDHsY7XmcKNaLtkd3xd6Obhzw01KVa8mSvriM2csb0xqneKYjdXoZumL+4djH09XGkxVySYybHBWlEaDFRuP4hYSzs721xUgdHLt+GuVbsx98NC3LVqN0Yv3+bSSlxK8i7lrBCiPOdABbhy83D+O+VHNeXIiBcPdFj/pvukxyI/J1mxQOXBNfslT2uxdDAGrpTQ5x/ygCsPdbxQyxWR8n3rDGhkJcikDCOyRtFS5nUpZ4UQ9Qnlacgd1fRVRyTQUyVyyh/I7WCcn5OsqVyRYFJ6RWnbJbtgvpBW8mEoWNEAlmFEKVM7Ui5WctuXB8NDN+agT1osFq77CRdsl4J9OIRI4n7zkDqqKVRATqxvTSCnSqQmCvvTwZgnJ1dEKzddpSiZbLxsUzFW7ShzCZ6XbioR7H0VrHwYClZ0QkoULeVixQ+rzlqzX61DV0xyjAlTBnfF4g3FwT4UEsLuyc/CgdPncajcKuv1/M1D6siGWAE595uHr79pDsCd1/bAhh/PKnLTlhp0ya1g676dlFyRzpiEqtQI2rJNxYJNa+0cBPvIBSsfhoIVnZASRXfWGgBJsWamnhyEqOnWvExwHCc7WOFvHiyjmkkxEVh429XIiBcvICfn5uFczt/fmzbrTXPO2ByM6p0a8JGgzpqEqsT3re2SHat2eAYq3gSywrozSrDVCalRNGvyLj+9JMeonGTck5+F8f3TZL1eqroLNmw6VOF7Q0JUYMCVfJFHJ/aXtY+E6AjY7RzWFZZjb1kdFk4WTxY1AHj6lwPwyyFdMTw7CUs2ljAlU7bbOcz/7BDzMQkl/0rB3zTFbln89+3hCVcJJvSqmTTbmZNQlfi+vVdwUlbelPNIfqDQyIpOyImiWeZ1/SlM9dCNvTGqTwp2HD2HrQyFs/xhNABLNpao+h6EiHG/+B8qb5C1n4aWi5j25h7Hx5mWSDxwfTbWH6zwmiwqZRrYznGSRh/9fVJWYiRXraRZrbQ1kYMlx8bf79upuma/jjGQq0kpWNEJuRcEX/O6cn/ZEqIjMPLyfuuaxQtUKUWHDz6kE8mwROLxW/uh/HwLnlxXBGuLvKlIzu33uLKhFa9/V4aXft/R+8bfthjVja04VnVB+nHBv5u2EsGGGgXWtFTxVgopOTb+fN+ykqL9Os5ArialYEVH1Hj6SPFSXMqbZ341wPHHkBRtkrUPFu6BGSGBMqF/GjITopCVFI2zDS34n48KFQ+a+VGNJRtLsPPRcaI3GCnTwKxNC4X4c9NWIthQusCa1irespCTYyP3+zY9vyeWbiqR/HsdjOJ7FKzojOJPHxJ/STPizVg05WqXP5bDlfIuju5l/hOiwgGDwWUImwIVEiwsPYGUwDKqIWUa2G7nsHJ7qaxj8femHcxqrkK0WPHWGzk9lfxhCjdi5phswdVAYoK1SIOCFR1S8oJQ02TzvRE6lmveernctfsv6Jnz8uY97RywcHJ/pMSZcbKmGc9vPUrBCQlZ3kY1pEwDj8xJRkJ0hKS8Fa3dtJWit5WRwcixWTCpI0nXvc6K0QDBOivBKr5HwUqIY32SujUvU/SPw595z5Q4M24b2AWjl2+jQIWENF9/i6zTwGFGA5751QDm2klavGkrSU8Vb4OVY7NgUi7m3dyPKtgS7VJimFTuvCfQcYH2Z0VSKDIAmH/rVfjh5PmATVUQ727OTcPkgV2QFheJ801tHoXbvHU2lzKqwToNPDEvE6/ePRSL1v+ESuuV0VOhqVYt3rSVpoXuyCyCmWNjCjfi/jG9PD6vlak9ClZ0SMlIV4lhUrnznvwFesOPZ+UcugdLVDgaWi51+qRcDsDpuma0XGwP9qGQy0ZkJ2Pq4K6Oj2/Jc70x8gXdAP+nIlhvHmI3aACav2mHKv7h0dvDm6/eUJ0VBSs6o0bZaCWGScXmPb3hL9ByVyS5i4oIx53XdveoWdEZvb/nTLAPgVxmANA3PQ7rCstdbv7uAcUrRkPApyLEAhstPCkHkl7K7YcZDZgyKNPrg9+UQZl+BZdamdaRysBx7iv/9cVqtcJisaChoQHx8fHBPhxViS1p43/N/C0brcQvsXvnzrMNrXh7l2fi1swx2Y4AZ9exGpdCWXLxR/rS74ciMcaE6sZWpMSYMe+Tg6i0du7ghQRPjCkMTW1XRrm83QT1eqPQM7Wvm0pqt3MYvXybz5EVb8vcvdFa0Cbl/k3l9nUiEGWj+aewqYO7CpbFZsHPe/51ah66JkbhrZ2eIy0cB7z+XRk2/ViBgtJa/Ku4UvYxu+z38n+XbCyG/fKbGo0G/GKQNi5EwbJwcn8899tBoHuisvhvp3OgAngvX6/E3xhhp7dy+yz5e3LL3PNBm/v+/W23ECg0DaQTeisbzXKRmPPBflWKbFU0tCoyUtNZ/H5EFvaW1VIVYAXERYbh9sHd0CMpCm/uPCk4YsfXw3j88yK0tLUjwxJFIyhBorfrplqrgQJdv0UNFKzohN7KRrM8IdDNMzDW7jmF7Uc676qhm3PTkR5vxnu7T6v6PgYAK34zCBPzMlFQWut1apEDUNvUhoc/PgjA91B7Z5keCuR5uE8580ttnentuqnWaiC9BW1CKFjRiWAtaZN78dHKHz8B9pTV4VStfw3LtOzr4irV38MA4IHrsx3BhtTf7wovpdKl5hFoNbARO4+Fk3MdOWRKHe+yTcUeyfxLN5W45MIB+iu3r1bFXb0FbUIoWNGJYJSN3lxU4VGnQajcvhCt/PGTwNzMOzsOwGvflWFIj0RMzMuU9fvNwXOoXWofGK0lSDofl9B5VDS04qG1rsXp/D3eZZuKBVfL2LmOn5GdA8b1S+9IsI81IyPejCqrTRfl9tWquKu3oE1I0BNsN27ciBEjRiAqKgqJiYm4/fbbg31ImsT/EgNXfml5alSg3FxUgVlr9rsEKgBQabVhFkMyFh9cBf95jxDlzP2wEO12DsOzkxBjCpP8eufkSKnJn1pNkPR2HkL8Od62S3as2uG9ntOqHWW4a9VuzP2wENPe2IPWS3ZHXoYzrVbu5UtJZFhcA4cMS6TslUu+rscGaL9+S1BHVv75z39i5syZePrppzFu3DhcunQJRUVFwTwkTQtU2eh2O4f5nx3yus2j//wRcZERqLlgcxnadR6ivvPaHnh+69FOX6SNhA7bJTt2Hj2H/N4paG6TV5SvsqEFgLQ8guHZSbISJIWmjPj3VmpaRmoFaufjPVPXjDPnW0RzTty9V3BScq5bw+VqvRa3fklartyrdMVdvfVIEhK0YOXSpUuYO3cuVqxYgfvvv9/x+dzcXC+vIoEoG727tNZnE7SGlkuY9saVFTeZlkhMGZTpUZAtIToCAFz25630OCFat2rHCRw/d0F2AF7X1AZAWh4Ba2Dz3JajGNU7BcOzk7CluNLjwUbo79HfaRk5eQ788S7ddNjxOaGcE3en6qTnXvHBUVREGF66fyhqmmyayvURo3SZez31SBIStGBl//79KC8vh9FoxJAhQ1BZWYnBgwdjxYoVyMvLE32dzWaDzXZlasJqtQbicDVF7V4NBSdqJL+moqFVcB65ofkiOAAPj++DnikxSIuLxLbDlVi146T/B0pIEDS0XpR10+QlXa7YLCWPgDUgWLn9OFZuPy7adVnoc2L5MayUynPgc04AiAYscpum8sGR0WhwaYsQavTSI0lI0HJWTpw4AQBYtGgRnnjiCWzYsAGJiYm48cYbUVcnXvBm2bJlsFgsjn/du3cP1CGHEOV+cfmnz3cuD9/aOQ5fHtR28SFCvBnUzeJXp/GM+I6b+7CsRJ+F+oyGju2SokyS3sPXyKgzf4ujKZ2ftmpHGdou2QW/Nj2/p1/FDbW82iVQ9FqYUPFgZf78+TAYDF7/HT58GHZ7xy/j448/jl//+tcYNmwY3n77bRgMBnzyySei+1+wYAEaGhoc/86coR4pSmm3cygorQWnQoZJXdNFPPxRR8Kbe9IuIXoy/9Zc2TdN5yTGfafO+5wOtXMd2x2uapRxpOyc82Ok8pb8L4ed68hNEcI3TZXLfRSIv+atKyxHQWmtZirZEk+KTwPNmzcPM2bM8LpNr169UFHR8XTtnKNiNpvRq1cvnD4tXtzJbDbDbFam8R25QmhJJCFyTBmYidZL7fi6uHMWojtU3oD8nGRZncadkxil5KycOR+YOjlyRx7E8iHk8jbNJqdpqtASZa0uAyfCFA9WUlNTkZqa6nO7YcOGwWw248iRIxg9ejQA4OLFizh58iSysrKUPizihViNBELk+Pl8M6LNnbeE01eXl9wO6pYIgC1Y4Zt3Ot8EU2LYHrpSYsx+TTtJ4U/+iVA+xPkmG5ZsLJEcwPg63wWTcjHv5n4uFWzT4yIx58MDgttzcA0Upda3IcEXtCtKfHw8Zs2ahaeeegrdu3dHVlYWVqxYAQC44447gnVYIUdqjQRCfNl/piHYh6CqdwtO4d2CU5KmgfjkUb6oXMfn2P7q7ByH6fk9sXRTiWqr6JQqjiaU/H9LXqYjgEmKNuGet/Z6vd4YDR25Kb7wTVN5rHVbOkOfnFAU1KJwK1aswJ133onp06fj2muvxalTp7Bt2zYkJiYG87BCitQaCYSQDnICh3mfHHTkRexhzA/ZU1bnd66GN2rX2XBO6BzTNxUPXO/9PGaOyfZZbwVwzTfZdbwGi9b/JLotH4DwdWdY69sQ7QjqWG1ERASeffZZPPvss8E8jJCmdHY81VAhRFyTrR0LvziE8DAjTlRfYHxVxx+UlFwNvvCX+xJmoTorga6zIXYe/FSZtzorPKk5ds4BSGfokxOKOu/EMmHCOm/OwgDg+TsG4fvT5/HVoQrUNLEvnyQkVKzdK20FY36vFMf/C+VqpMVH4ulNJYKFvoRqagDKVrCVQ+g8WCrYAv7l2PHnzELLfXJCEQUroU6ha1SmJRJ5XePxp08O0sgKIQpJiI7ASLccEPdcDQCYNCBTNAARKiCpZlFJVkLn4Yu/OXb890bJprBa7YLd2VCwEuJqLsiveTJ9ZA9c0zPpclXaKp8Nxggh0vzumm5MNz61q1qrQc5NXm6OnXMA4twnR4xQ/o7Q8Qq1NKDlz+qgYCXEyZ0GMhqAhbddDVO4EW2X7Jj2xm6Fj4wQ8um+cvTLiEeGJUoXT+ysAYjcGidy8kiEEogn5mXigeuzRfNm3I9B6HjFWhrQ8md1ULAS6mRe+5wz9uV0QiWE+Fbb1IaHPz4IQPtP7GIByMLJuUiMMTnVXmnD7LXyapzIySMRSiDeXFSB178r8zgGjgNed1tiLpYjI9bSgJY/q4OClRAndRpIKGPfn6ZuhBA2Wn5iF7uhVzS04qG1rtMtRgNk1zhhzTd59jeDRLsrS6mzgsv/L/VZzHn1kd6m57SKgpUQx/qkcnNuOkZkJwlm7AequiYhWnBVRhyuyUrAxh8rUN9yKWDvq9UndqlJr95GYX3d5J3zTfjl2Tzn6Z5RfVI8XsuTWmfFnzpUtPxZOUEtCkeCz1fHVAM6hnJfuXsY7h/TS3Bp4fT8njBo47pJiOqOVDbi/T1nAhqo8LRYsEyNwpLebvJ8H6IMi+uDVoYlkmnUSUqdFX+DDVr+rBwaWQlxrE8q3p7iwowGREWEobmtXc1DJYRcpqUndjWO5UilFQWl4gm6Qn2IWBOQA1FnRan2BeQKGlkhfj+p7C2r002g8peb++LukT0QFREW7EMhRDYtPbGrcSwv//sE7lq1G6OXbxPt+eNcxj8/J5l5Wox1NHl4dpLPbcVeD6jXviBU0cgKAeDfk4qWnvJ8GZKVhCEA1uw+HexDIUQWowEYlqWd/mn8DV2NHmNqJBVLHU32tq1QS4NAty8IFRSsEAe5haW09JTni54CK0KE2Dlg36nzmlllEmY0YMqgTLz2nfJFIdVKKuZHk92XWgsFGr62Hdcv3aNtQJjRgILSWqpqqyAKVojffC0n1JKUGDOMdNEgOqeloLvdzmH9QeGpGiWotQxYymiy2LZbiitxw4rtLkHMP7YfB+Bah0XrNXL0gIIV4hVLRUpvw6paU1xhRUqsCUkxJpxvatP0sRIiRkujmWqsBhKiRoAmZTTZfVspxeK0XCNHLyhYIaKklMQWGyrVmqWbSoJ9CIT4RWs5K6xBxD35WchKisaSjfL+BrUUoEmtLaPVGjl6QquBiCD+qcE98OCfEIQy9CfmZWLno+PwwcyRuEZDF1Mpok30J0G0jc9ZYdFu51BQWot1heUoKK1Fuwp9MViDiPjICPTLjEdClLRnZOfVOVohZzRJizVy9IRGVogH1nLUceYIj5LW/FDpf4/tjXtXfx/gI/efKSwMzbAH+zAI8YplNENus0CpWHPWVm4/jpXbj+t2GbDzlPixqkbZ+9FSvpGeULBCPLCWo5725h7H5/iLIJ+EtudkbQCOVHn1LcLNyQhR2/SRPVBlteHr4iqf2/oazRDLpwj0UmAhUsZ25CwDZu38LIVQ4CeXlqaz9ISCFeJBTuRf2dCKWWv2i7ZNJyQU3T64C7olRmHl9lKf217TMwm3DeyC0cu3+WzU521KREqjPrWXAst1c24a/jCql+RAQ43RJLHATyqqausfClaIBzmRP/+HTIGKfhkN3pvMhZqFk/sjKdaMJ744hCabvArN+TnJsDKO1qXEmGW3v3AeTahptDE36lNrKfCu4+eYAjQxfdPjJB+br9Gkl34/FIkxJkkjLlITacVoaTpLryhYIR70VDeF+I+/dK68awgSY8x4a2cZtpT4noro7PgO41ERRsxas1/WPh795yH2jS//IPhRikXri1Fp9V6wDJA/RaHmUmB/953fS7xrshBfo0kAMOeD/S7BOMuIi5xE2sToCHAAVbVVGAUrxIOe6qYQ/7lfSIvK6ylYAVBQWoMbrkrDxLxMvCoQPCitutHm9hnXvzyO8/xL9GeKQs3cCX/2nRAdgZESR1VYggr3UUOW/B3WoGvO2N7okx7rGLFpt3MeVW2FOtYTdhSsEEF6qZtC5LsmKwG35mV6XEhTYs1BPCrtWLT+J4zpW+242ThXMP3hZB3eU7i/VN2FjmBFLACpstpcbq5ypyjUzJ3gp6MqG1pkF1585lcDJE+VyBnJ8Za/w5/HkUor077yeyVjVJ+O0SChka43dpbRyIqfKFghotxLTKfEmjHv40JUWW2KjLZQjkRw/XCqHj+cqve4kGZYooJ8ZNpQVtuMsoJTADqKCc4ck40Fk3IBALfmZeL9PacV/f1NiDZJSo6VM0XBmvciZxUN63QUP1priQpHQ8slx+cz4s1YNOVq5hu6e56OHEL5O7Km1S5/mwK5CivUULBCvHIvMb1oytV+Tw/xl78X7hyCamsrymqbsK7wLC60XqIppyBwv5Cq2UVXr+wcHI36FkzKhSnciJv6p2FLcbVi71HXZGMuG8DfpKWSkvciZRWNlOmoDLcyB3KCI6Hj9efhh/9eyp1Wq7lgC8oqrFBCwQqRRGx6KDE6AucZVwJlWCIxZVAmnt5UQjdEDeAvrs4X0qd+kSs7qbQze31HGebd3A9hRgO+P8lWRZbVv4+cw3fHapi25W/wLBZO7o+UOLNoQODvaADLdFRSTAQW3nY1MuJdj0HOaiSx4/VnlCstLtKvlT9pcZGSAk2tdMzWEwpWiGRCHUjPN9nw0NoDoq95eHwf9EyJcWw7e+0BpotCpiUSeV3j8U1JtaanjPqmxaBHUhS2Hma72WgRXUh94zjg96sK0C8jXvFl+rtK2QsppsSYfa7a43NTZozKFn2SV2I0gGU6qq7pIjLiI/3+3WIJKNxHWLyNuDjn78idVuNfv+HHs0yvoQq28lCwQmRxnh5qt3MY9r9bvG6/+j8n8cMTEwAAo5dvY356sdvt+PXQbnjp98PwXsFJ7D5Riy0l8ofeJ/RPQ6W1FYfK2RLnWKXFRWJEr1RdBysAUGltRbudw/zPJCy5DTF8rk9QGbyv2mOt66HEaADrzVeJmzTrqh/n0ST+4Qjw/j2Senzur2cd6aIKtvLQWirit90nan0+ZZ5vvojdJ2olP71UNbZh1pr92FpcidwuFvRJj/PrWLeUVCseqADAgO4WnDnfrPh+A63ugg27S33/PElw1VxeOcRPy2ZYXG+AGZZI0ekb5+aGu46zTzuJCeRNmjWgSIkzY+rgrsjPScakgV2YvkdSj8/99fxIl1hoqMWGjHpCIyvEbwWMw9cFpbXokx4r6z1mf3AAAmUmNKO+uQ2HK+Q3N9OKpBgTCk7oe3QoFDjfWIWmZcWSVeUWkPN2I2edjmK5SftakSQ3MGL5HrEUw4yLDMPtg7uhZ7Jn7RQlRrqIOApWiAJYowhO9tOVlgMVAPhg78/BPgRF1Fxow1E/OspKQUvXpRO78buv2hMiZ6ULS6Ch1E2aZUWSkoGRlPPgNba2473dHcvZV+0ow6IprqulxBYgUAVb/xk4obKIAXL06FH8+c9/xq5du9DW1oaBAwdiyZIlGDt2LPM+rFYrLBYLGhoaEB8fr+LREjG7jtW4dGAW8/79IzAyJ9lrozZCiDD+Vi+nVke7ncPo5dskjahIfT9/lj+LBVJCx8BvCwgHRkLHK+XYpI4+vSrwfmp0fu6MpNy/gxqs9O3bF3369MGyZcsQFRWF559/HqtXr0ZpaSkyMjKY9kHBSvDxCbbe8hwSoiOw74kJCDMaRC82hBBx/nQPLiitxV2rdqv+fnJu0r4CKX60ZOej4xz7khp8sAZC7udR2dCCBZ8fQutFu+jxx5jD8ONTtwQsGOlMgZCU+3fQpoFqampw7NgxvPnmmxg4cCAA4JlnnsHLL7+MoqIi5mCFBF+Y0YBnfjXAa10O5xLaVMqfEOn450o5Nyv2Hjc56JMe53O/YsfAMh3lTs6KJNY8HblLs/nz2HH0nNdABQCabO34z/EajOmbynjG8vlbvE/PghasJCcn46qrrsK7776LoUOHwmw247XXXkNaWhqGDRsm+jqbzQab7UppZatV+ZUdRLorzd5+QqX1ys9HrIS288Xm7Plm/L9Pf5Q9yjJnbA7ye6Vg3icHVW00R0gwVVltmLVmv6wy9ay5YonRJp/bKH3DlLv0mSUw8ndp9mf72XLRPtv/s+rBSqiX8g9asGIwGLB161bcfvvtiIuLg9FoRFpaGjZv3ozExETR1y1btgyLFy8O4JGGNilPcVJWJQBXLjYFpfKmg/jh4YcnXIUwowGLpuTS9BLptPjfaedABQAqLwcxQrkTPJaVLkYDsGRjieNjoQBEjRummkuf/a0B09TWzvR61u3kolL+KtRZmT9/PgwGg9d/hw8fBsdxmD17NtLS0rBjxw7s3bsXt99+O37xi1+goqJCdP8LFixAQ0OD49+ZM2eUPgVy2eaiCoxevg13rdqNuR8W4q5VuzF6+TZsLhL/+fABCF/jgOUPR26xKA6uqwzEak5IkWmJxH9dn41MP/ZBSDDM/+wQ2kWWV/ErXQCI1gFxfykfgPB/775umEDHDdP9GJzruhSU1np8Xc36JP4GQtf2FH9wlrOdXFJGiDorxUdW5s2bhxkzZnjdplevXti2bRs2bNiA8+fPOxJrXn75ZWzZsgXvvPMO5s+fL/has9kMs5la2KstkEOO/hSL2vBjBWyX7I5RHPfRnZpGm8vToi8cx2FIj0T8ZWJ/7C2rw1s7T/hVMZeQQKlvvojdpbUY1SfF8Tn3kdGXfj8ESzaWMDUAlNrlmbWDsfuIjZr1Sfxd6nzvddl4etNhryO1hsvbqSmQVYK1SvFgJTU1Fampvufumps7qn0aja6DO0ajEXa794Qmoq5ADzmyDFGL2fBjBTb82PHk53wRdG4F8MbOMuZE3iqrzSUYKypv6PTBisHQUcfGn07aRBsKTtQ4ghWxQGHh5FwkxpiYgnk5XZ59dTAWeuBRqz6Jv4GQKdyIB67PdnTcFvLA9dkuxeHUQKX8g1huPz8/H4mJibj33ntx8OBBR82VsrIyTJ48OViHRRC4IUd+eHjDj2dx57U9AIgPUbNwH7YGrlysDIz7dh/OTorxnXCoe5dP2hIdIellj0/qjxfuHIzbB3dR4aA6L/77Nmdsjgp7v7K098E1+z3+jisbWjF77X40tLRh6uCuSIljG6WW0uXZVwdjsSmjiXmZ2PnoOHwwcyReuHMwPpg5EjsfHef3CK6clgTOFkzKxX9dn+1x/TAA+K/rs7FgUq5fx8eCSvkHMcE2JSUFmzdvxuOPP45x48bh4sWLuPrqq7Fu3ToMGjQoWIdFEJghR6GnvoTLN0u5fWnERn2kLpV2Dsbqm9tkHYue8N+3yPAwTBuRgYNn6lF01ncV29zMeIzqk4KUGDO+KGTrOBvqEqMjcN/oji7IBaW1WLm9VNH95+ckSxoZlRKASJlSkbsKR87SZxZSk//dLZiUi3k398N7BSdxqq4ZWUme5fbVRKX8g1xu/5prrsG//vWvYB4CEaD2kKPY8LASzfPELoLOF6uviirwbsEpn/uqbmxFUmxo5Edx6Oi4/P4e9oT1ghO1qGmyISXGjISoCNS3UPNDX5bePsBxw0yJMSMjPhJVVmWqOSdGR2Bkr2RJgYKUAETKDVOLORb+BkKmcCPuH9NLwSOSJtRL+VNvIOJBzf4b3p76lCR0EXS+WLEEK2lxkbBT8xpRK7cfd/x/gsQppFCTaYnElEGZWLLRczSRH+3w9ZuWEB3hNaBfdrnwopRAQeoTO+sNk3Is1OHvCJGeUbBCPKg55OjrqU8pLF1ivR0HP/+7+wRbR+lQ13D5JupesCzU3ZOfhVvzMnG+yYbZaw94BCSO75uPQMR5W/dRLPfVNVIDhYl5mXjg+mys2lHm0jDUYABmjsnGhNwMFJTWOm6OE3Iz/O5g7M8DT6hTa6pM6yhYIYKUHHJ0Xj55TOWOvqxdYqcMyvSa4T9lUCbCjAbUXLCJbqMH0aYwNKtcsAq4kgsRFRGGl6cNw9nzzfjzPw+p/r5ad2teJoZnJ2H08m1ec0giw414/48jUG1txZKNJahr8syVcnyPTWF46fdDUdNkUyRQ2FxUgde/K/PY1s4Br31Xho9++NklkGKpVks5FkRpFKwQUUoMOUrtYOrNqJxkGI0GGAB8d6xG9kWw3c5h/UHxwnYAsP5gBf4ysb/uh6lbAhCo8DryXmwwGgy449oe+LqkCluKO/eyb28SoiOYk03571uGJUowUHHetqKhFUajAVMHdxXcRkqgwDIt6z7iw1prKdRzLIiyKFghXvkz5CiWSCvXrtIrUzJCK4dYL4IsU1HuCYh6bbgYjIwbPmdi1T3X4oYV23CqtkXyPvjl0HpeZcQHBmokm+46XuP1AYI1UJAzLSul1lIo51gQZVGwQlShdiItP3//8Pi+6JkSLekiKDUB0deUEXFV02jDusJybC2ulBWoAECT7RJizPq+PJ1vvoi9ZXWqJJs6JzeLTcuwBAr+tLrw1gDQWajmWBBl6ftqQDRL7URa/unuw+9PY+ej4yQ9qUktbvXRD2ydV0nHz0RKewMxnaVqcHVjK24b2MXn6FxGvBl2jkN1ow1JMRGoa2JfBu5tWsZXoODvNGdnLu9OtIWCFaIK1ovYnLG90Sc9FmlxkTjfZPPoW+IN/3T33JYjGNU7lXlkRdJqoNJaReq/hApa6O0qLS6SaXTO2noJ097YI+s9/GmB4U+rC4CWHpPACVq5fdK5sV7EEp3qc9ziVm57ztjeTPtYub2UqSM0j795eHPbwI7h83cKaPqHSOdc/pwlodvfFVtyW2CwdGMWEgrl3Ym20MgKUQXLE5vR4Dpl4D733lGO/LjIqz3xw+Ev/X6oo1Gb0Dw9y83jzZ0nsWrHSeb3HpWTjJy0WGQlReNsQzPe2nnKYxXGgG7xKCq3Cna4JZ2H+4qbgtJaWVOiBgBJMSY8Mbk/Ss9dYCrNL2daRiwZly9CR0uPiRZQsEJU4W35JM/9pu0+9z4sK1FSJ2B+uzkf7HfZt3sQxJJPIzWg2FVa61itlGmJxIt3DUG1tdXRRyQtPhL//cEBaTslmsb/brpXlnVfceNPEmttUxsyLFHIsEQxBStyp2XEknG3FFfS0mOiCRSsENWIPbEZDcLBgPvc+54TtbLm0X0FQWonBVY2tOJ/PjiAV+4eivvH9EK7ncOw/92i6nuSwONv2r5W3CiRxMon6apZEVYoGZeWHhOtoGCFqMr9YlfTaPO6WsR57v2z/cqswpHbadaf94PT++0+QUm6ncmcsTkeCd3eVtwokcQazIqwtPSYaAEl2BLV8Re7qYO7IiWOrYtxdWMrLtiU6zEj1GlW7WfDioZWPLhmH16WkHdDtC0hOgIPT7gK+TnJjsCg3c6hoLQW6wrLUVBai3a3oT2lklj5kcoMi2uwnWGJ9FlNlhC9o5EVElBSapykxbMFNlL46jSrtK+Lq1TcOwk092BDqJ2EUJE2sSnRxOgInJeQxErTMiRUUbBCAkpKk7Wz9S14f88ZRd/fudOs0M2DEG/4qrT5Ocmi7STEirRJTWJdOLk/LFEmrCssdwlKaFqmg3ODVAraOj8KVkhASZl775IQJWnfYom7/L7dExDdbx4psWbMfn8f6luUm34inU91Y6vXdhLeirSxJrGeb2rDko2+R2xCFeuIFuk8KGeFBBzr3Ds/CuNNcowJz/12ED6YORIr7xoCAzyH6r0lIDrn04zqnYLfXdvdjzMjoSAl1szUSVlKkTbn38OGljbMXrvfY//8iA1L4cPOjB/Rou9PaKGRFRIULHPvzqMwYlNGS3+Z5/Ik9YrRILsuBEuxOKKshZP7IyXOLKvdQrDsOHYO4YzTDVKXycsdsQmVKRG53x+ifxSsENWJXUjb7RyKzzY4CqcNy0oUbXW/aP1PqLTaHJ/PiDfjydtyPeb0pSYgOh9bTaNN8zfKziQhOgIzRmW7/Gxuyct0/Dyqra1YuulwEI9Q2KvfnmDeVuoyeSkjNvx0UihNicj5/pDOgYIVoiqxC2le13h8U1LtkmOydFMJZo7JxoJJuQJ7cg02Wi/Z8dgXRS71S5wv0CwXKqFj0yOlVjR5y/lRg1D46JzT0W7n8NzWY5L65hgApMeb8bffDkbNBRu2H67GF4VnlTlgCeQWaWMdieG3k5rkq3dSvz+k86CcFaIasbnlioZWbCmu9rgx2jngte/KsGxTscc+Kq2u+6hvvuhRaE3KnLXYsenFTf1ScVVGHAZ2jVds6bWd65iWuSc/S6E9esevrFESB2DRlKsxqncKpg7uqnotHSH+FGmTsrTf15QI0DEl4l73Rc+kfH9I50LBClGFtwupL6t2lKHtkl3yPlgv0P4cm1Z8c/gcjlQ24sdyq6L7TYkz49YAPom7PwG3XbLjzR0n8OS6Ijy57pDf3YilrigzKBDd+FOkzVfBQudCcUon+eqBlO8P6VwoWCGqYGkWKMbOAX/59CBW7yqTvA9vF2i+0uhzW47qdkRFbSmx5oBV+AVcn4CXbSpGv4VfYcnGErxbcEp2jR3nYHVktrS8BUuk/zPjHCc/DPZW7dZ9xCYUp0SkfH9I50LBClGFvxfILwrPeu0hJPX9NxdVYPTybbhr1W6spPL34jj55eGlMKAjSdrOcVhXWI7/XrsPr31XpkjOjHOwagyTdgZK1Nipstowa81+vLD1qGgJfm9Yl/aH6pQItR0ITZRgS1QR7Auk8/uLJSEST5UNLQDUrfDLJwS3XrJj2ht7FN03jz+Pmgs2H1sqj/89e27rMcfnMuIjsWgK++ocllVtUqpBdzbUdiD0ULBCZPFV18HfTrP+Gtw9wXGces9PCaTCn+vx62s6CuNNzMvEuH7peK/gpGN5+dmGFry586Rf72GJjhBMkFZSzYU2AMEPmnmV1lbMWrMfr0p48vdVVj+YnZi1gNoOhBYKVohkLHUd+AvprDX7g3KMa/ecwv1jevmVOxOartzYNhdVCNa3mZCb5rHs3JekmAgsvO1qpMWaMe+TgwDUC1QAoL6lI1gJdtDsbsFnhxQtWCY2AsZaCJEQvaBghUiiZF0HgwHwIxfRq1N1zQA6V3JhIPRMjgbQ8XMWCjQrrTZUFldj5Z2DUdVoc4y4pMeZ8d8fFgIQfsJ/+pcDMDEvEwWltR7L0NXAJ7mq0WH7mqwE3JqXKSun6nzzRew+UYtRvVMUOJIONCVCQgEFK4SZlFLXuPz/YgwA0mJN+OOYHHx/sg5fF1cpeqxZSR03Xa1MA+iB0QBMz++JdjuH+Z8d8rrtE+t/wr4nJrjcEMPDjT67Bx+ruqDa8TtLiDI5/v9KFeRiRQKlueP64ro+KXhjZ5msEZv/lNYoGqwAykyJhErJfqJPFKwQZlLrOvjatqqxDUYDcGteBn44dR7nm9oUq8TaNy0O6wrLkRJjRkZ8JKqs2pgG0LKZY7JhCjdi17Ean/kk9c0X8dbOE0iLj/Ta6uB8Uxv+usF1KikQiiusLm0YOvj/GxBtCsN1fVJcRmykKj/f4vdxKC2USvYTfVI1WFm6dCk2btyIwsJCmEwm1NfXe2xz+vRpPPjgg9i+fTtiY2Nx7733YtmyZQgPpzhKa9So6+DP8mQx4WFGTH97r+PjhOgIx8gPBSyejAa4tDkoOFHD9Drnvj1CrQ42F1XgobXByVn6ovCso8x+wuWEXiX8/beDHKMNE/My8cD12Vi1Q9qS6y4J2hrtC7WS/USfVK2z0tbWhjvuuAMPPvig4Nfb29sxefJktLW14T//+Q/eeecdrF69Gk8++aSah0VkklLXIZjTL22X7C4fN1y+UVmiI1w+nxgdgYQo18+F4qB3SkwEhvRIdBTNOypjqsa91QHLVFKgKBGopMeZ8PLvhzimswpKa7Hpx7N4XUZtmFE5qX4fj1JCsWQ/0SdVhy8WL14MAFi9erXg17/++msUFxdj69atSE9Px+DBg7FkyRI8+uijWLRoEUwmk+DrSHBIreug5CoMf5Jx+VGVyHAj3v/jCNRcsF2eorDhrxuKgRbXbYNlVE4yfj20G+Z9cjCgx1F94SJmrdnv1wiEe87S7tJaVZcmB8K0Ed0RZjQiKykaafGRWLKxxGWaxGiQ/vuSEB2BkRpabktdjIleBLWCbUFBAQYMGID09HTH52655RZYrVb89NNPgq+x2WywWq0u/0hgSCl1rXQV1MhwAx6f1B9j+shLTOTQsZLFaDBg6uCuaGhpw+y1BwKeS+GN7VI7TtRcCFrA5G9w4XxjY51K0rL395zBuwWnsGRjCf77gwMeN3U5gw3P/GqAppJWQ7FkP9GnoAYrlZWVLoEKAMfHlZWVgq9ZtmwZLBaL41/37t1VP05yhZRS12LbytFykUO/9Dg8dGNvv/ZT3diq2UJxP5yqx8rtpcE+DL9VN1Iys7uMeDNevXsoJuRmoKC0VlYZfjWEasl+oj+Sp4Hmz5+P5cuXe92mpKQE/fr1k31Q3ixYsACPPPKI42Or1UoBS4BJqevgvm1No012Uu2n+8/g778b4tf0UlpcJBWKU1lNow1nLte5UZM53AibW36S1swZ2xujeqdgeHYSthRXYvTybaqsuJG77DiUS/YTfZEcrMybNw8zZszwuk2vXr2Y9pWRkYG9e/e6fK6qqsrxNSFmsxlms5lp/0Q9Uuo6OG/bbudk16cor2+RXeTLACA93oyi8gZ8d+ycxHf2bUL/VFyVEd8pRkb8YYDyK7wMANLizBjQLR5nzrciMtyAgz9bNR2o8Df5hyf0RZjRoOqKG3+WHYd6yX6iH5KngVJTU9GvXz+v/1gTY/Pz83Ho0CFUV1c7PrdlyxbEx8cjNzdX6qERHfAnl6VbYkehN7HppYTLq32E8mk66rrYsHRTCXYcUz6fIsMShZzUWMX3qzdKT2rwPztbux1bS87hSGUjDv6s7Tw195u8rxU3HOSvuOGDIPeRQvfVWd5QF2OiB6quBjp9+jTq6upw+vRptLe3o7CwEADQu3dvxMbG4uabb0Zubi6mT5+O//u//0NlZSWeeOIJzJ49m0ZPOjG5HX1/PbSbyz6EpqK2FFd67DfaFIamtnbVSvsDwJDuiY7meUQ5gWh6qDT3vjws045yVtxIqSjta2SESvYTrVM1WHnyySfxzjvvOD4eMmQIAGD79u248cYbERYWhg0bNuDBBx9Efn4+YmJicO+99+Kvf/2rmodFNMD54ljZ0IIFnx1Cq5dh/RhTGK5zK1EuNBXl3im4W0IUln11GGrLTIhC6bnAlJIPBT2TorD0lwMD0vQQAO7Jz8ItV2dg3seFqLLaJI8QLZzcHylxZsGbPGuJf6mtAJRedkxdjImWqRqsrF69WrTGCi8rKwubNm1S8zCIRjlfHKNMYV47NP/NqXKoN0KdgqXga41IyYfJvJyAuOu48rkwoar1oh2HK60BaXoIALdcnYFRvVOwaMrVkvOhMi2RmDEqW/T3s+4C2+8i63Y8WnZMQklQly4TwpuYl4lX7x6K9DjX6T9+ySfLvDnfKVhOoDKmTwo+mDkS+56Y0HEc8b6nIQ2X//G5Cfm9lG1OF8oq/Vg1JsvlyISfomT5+QOuP38xSTFsOXzu2/EVhcWWOdOyYxJKqAEP0Qx/5s39Le9+Y99UtyFw1/fkk3edcyfccxNG5iQr2oeGyCOnB1RNk3uA6/vnz7riJsMSxXQMztuxrPChZccklFCwQjRF7ry5P+XdjQZgen5PAOJN3fj+Qg+P74ueKdGCgVSY0YBnfjXA63QWUd8fx2RjXL90SXV9+NEHf37+Yvigwlt+SaZTUMG6zJmWHZNQQtNApFPwp7z7zDHZMIUbmZaYvlPgvXHdgdPnZR8HUcbavacxPDsJUwd3xYxR2Y5RETGJ0REYnp3E1NTvw+9P47aBXZCfk8wcBPBBhdjWzlNJUhsL0rJjEipoZIV0EtKfHo2GjkBlwaSOui8sS0zrmi7i4Y8KAXgOy7ddsmPVjjLJxxEq8rrEY3B3Cz7bX47mi+oVdGuyteM/x2swpi9bd2M+CFCzqZ/Ycn333yE5x0DLjkkooGCF6IJQOXEAjs9Zorw/PfPG90+F7RKHnsnReGxSLqJMYY6vSV014T4s/17BSVnN7UJF0Vkris5akRAdoWqwAgCf7f8ZY/qmYm9Znc/pwfrmi47fIxZyV9ewBBVyj4GWHZPOjoIVonlCyYZCCY8GA7wWfjMYgK0lHcuLdxwDtpZUuzzVSl014V546xRjP5ybc9MxeWAmUmLMmPfJQVRZpbUeePG3g/H96TocP3cBBaV1ko5ZC/ifWUJUBOpb1ElGbmprByCtxklGvPqra3wFFbTChxBhlLNCNE2snLhQVVNfFWrdv86PjLyw9RjWFZbDznHIiDdLmlByHpbvnsi26uPanomYOrgrRvVJwaIp0loPGAA8vbkEE/Myka7zG5bBALx//wi8cOdgPDy+T8fn3Le5/F9feSfuru2ZCEBajRM+EdZbbkmmyqtrtHAMhGgRjawQzfKWbOiN0QCX6Rj3j3n8p57betTxuYToCMeIiZT3rW5sRb+MeKZtnbeT2nqAA1BptWHaG3skHJ02nW++CBiAqYO7AgCuyojz+D7wy8Nv6JuGpzcV48S5C9jlYzTJAODe67IBAAnRbDVOEqJNmlhdo4VjIESLKFghmsWS8CrEzl0pf866dJXHL1G1SKyXkhYXyZxvUNfs2kPIOZfhq6IKvFtwivl99a6gtBajLrdREMvp+L/NJXjo/f3M+UAPXN+xugsA6pvZ+jXx24kFj+41ddSkhWMgRGsoWCGa5U+Z8JQ4M6YO7op1heWSXsePqkRFhOGl+4eiurEVSzaW4HxTm8/CW3vL2PJHhPINnHMZQilYcR+/cs/pWLapGK99x7bCyoCOQIVf3QXIqx7r3l8qKyka0/N7OgKgQKAVPoS4omCFaJY/SYQ1jTasKyxHTaP00vt8HorRaMAvh3ZDlCmMaVheiYqiw7OTQqoKrrcWBSxLwQ0A7hrRHTkpsYIBhVLVY9/YWRbwUQ1a4UPIFZRgSzTFuR+K3c4hI1482VCM0QAs2ViCuR8WYsnGEhhkPozuOl6DdYXlsESZ8NLvfRfe4vMNAPFEUZZ8gzYv3ac7Ez5pVqz3DctScA5ATkos7h/TS3DkY1hWInwNRhgNHdsB4gndfDL25qIK7zsjhKiCRlaIZogtUZaa8Op+g/O1SkjMyu3HHf+faYnEwsn9kRhj9josz+cbuHd+To83Y9GUq30+me8urUXz5WW3nR3HcZj25pVE4Yx4M5687WokxphQ3diKPYzTat6WjO87dd5nwGPngBe/OYr8XilYtF68eqzzMnWajiEksChYIZrgqyeLe8JrYnQEOA4udTrEVv0oobKhFbPXHsArdw91rF7xTmxsxTt/2gboTUPLJZePK602PLRWel+lrKRo0a+x5j2t3F6KldtLvW7jTwVbQoh/aBqIBB1LP5QGtxwOO8eBc3uFmtVjhfqyCNlcVIFZa/Z7FCOrtLZiFtM0gn6e2B+6IQcv3DkYC269KqjHwTehFKJG8TR/Er8JIfJQsEJU55yHIpSbwLJE2WPEpeWSx5O52pyfrIW02znM/+yQ130s+OyQ12DH3yf2MX1S0Dc91q99sGq0XcTUwV1hCHKA5e376avImhxUPZaQwKNpIKIqoTwU9+ZtWnhSnT02BwbA51QAIH68u0/U+lzFc775InafuFJbxN3IXsl+rQa6sW8qDv1cj6NVF2S9Xgo+RPjhVHA7TU9duRO/u7a74Gogb0XWpBJbzSXUt4pyWghRFo2sENWwrqwI9pNqYnQEHplwFUb1ZuvSK3a8BaW1TK8X2o4ffdrw41n84bqeTPtxZ0DHlMivh3WX9XqpspNjAABREcG9jBytvoAlG0vQb+FXWLap2OPrfNJzWpzZr/fh4Lmaa3NRBUYv34a7Vu3G3A8Lcdeq3Ri9fJumVw35GukkRItoZIWowlceivPKCl/1SdS27FcDFKqTwnr0rtuJNmp0SyBm3et1vVMQYwpzNPNTg9FwJVfk6kwL1h0M/s3ZzsFRQM65MBwAHDh9HucY+wSxEksKd+/GrSUsI52EaBGNrBBV+MpDcc7/8FafRAmZlkj81/XZSHd7ss6IN+NVBeukeCtwJrad2OhTQ/NF1LdcxG+GdsM9+VmY0D+Nad/vFZxEmNGAv/12ENP2cs0cc6WkfapFWzkcq3aUudSq4avg+juAYADw+OdF+Hz/z9h1vAaL1v/kNSncVzJ2oFENGaJnNLJCVMGah8JvNzEvEw9cn41VO8pk10XhJUZHYOVdQ1HTZHPkEGwprsS6QveLsWfQIacviyNn4YINseYwXLCJj2gkREdg5OUkWpZVUJ/u/9nX6br499FzyO1igV3lm+SQHomO/8+I11awYuc6grb7x/RiqoLLigNQ29SGhz8+yLStlpY5SxnppHwbokUUrBBVsOah8NttLqrA69+VKTINxAEYmZPsuOiKDddXWYWH66X0ZREaVvfmmctTToD8Ro3e7DhWgx3HamRX7WXhfmPjp8+UPhd/8IXiWKrgqkkLyeOAtJFOLQRXhLijaSCiCl9LRg3omJ4Znp3k9alPjvrmi47lxSyjF0LD9XxflqmDuyLfKfBxJjasLoSfcpqQm+FIbtx1XL0CcP6OTnndN1yXcPPTZwawT+PxP//37x+Be/KzFD9GvlCct+q2zq7KiMP0kT0UP45gJ4/zpI50EqI1NLJCVOFtyah7/kdBaa3iT+X8RVfuE6Wv5ai+AiwDOjr5PjG5PzIsUY6pqNHLt2lqBMIfzje2K20Gij0K4rnjv4uPTeqPw5VWVCr8/XBO/vVW3dbZkcpGHKlsVKwKMkvTykCSOtJJiNZQsEJUw5r/UdnQovh7p8R2JNPKeaJkWTHBEgTVNrUhwxKF/Jxk0akoPRO6sXGcaxPGqAgDWi9xLiM9BgOQ1zUecz88oMoUzU390xzJv9Pze2LpphLm91EqUAHYmlbKIaeuixIdwQkJJgpWiKpY8j/qmtqUf+PLV2Q+aPGF3451OaqUIEjpaS4AmDaiO07XtWDHseD0Eooxh8Fu57CusBxpcZE432TDQ2sPeGzXctHzrO0c8OPPVtWObfvhc2i3cwgzGmAKN2LmmGzHkmZW/hSQY0rGlllATiyQ9tVkU8pIJyFaRMEKUR2f/yEmiTGgkGJn6TnUNNlQ7WNKwoGTtmJCyrC6Gom0kwZ0ATgELVhpsrW7dExWM6FXqkt2Dt+VVGPs1ekA+JVL0oIVKYGK+83fbrcLbudvjROxQLqiodUjUBTar9iKO4OhYyk61VkhWkYJtiTo1Fj6+sq/T2Duh4VYuukw0/Y1TTbm/JbnthyFneOQEW9mSiBWI2mx5oINdjWzaCXS0KEAAP72zVEAVwJQNXmsMmts82ha6W+NE6mjc0L75VfcuU912Tng9e/KqM4K0TQKVkjQ8fPpwZQWF8kcVKzcfhzT3tiD1kt2x4iLM/dhdTWSFtPiIrFHpKEiARouV/5VY1SL52swaf7lppVyV6Q5k3oe7vtlCXYWf1mMXcdqqAw/0SRVg5WlS5fiuuuuQ3R0NBISEjy+fvDgQdx1113o3r07oqKi0L9/f7zwwgtqHhLRIDlLX5XiPAIiNahouNxsMD7KdTY1Pd7sUrtFyc6/zsfrX1u+zu2qjDgA6izFnTM2B49P6ufzu1/ffBG7S2slrUgTI+c8nPfLegzT3tyjmx5HJLSoGqy0tbXhjjvuwIMPPij49X379iEtLQ1r1qzBTz/9hMcffxwLFizAypUr1TwsokH8yqGMIIyw8CMgw7OTOnryMOJvVo2tl9y+YsDFdg5v7jiBJ9cVYfWuMjx+a//LX5HPfcSGtbx/KHr+d0MAqLMUt096nGPkxpeCEzWK1Djx5zyqG1tlBTtUhp9oiaoJtosXLwYArF69WvDr9913n8vHvXr1QkFBAT777DPMmTNHzUMjGjQxLxPj+qXjvYKTOFXXDGvLRXxReFa19zMqlFjoPlpeaW3Ff3/gmvBoNADjc9NQVG71aFhY33yRafWJ+yqTa7OT/Fq10lkN7BaP2MiOS5saTTLT4iJxrOoC49bs04DetvPnPOQGOlSGn2iJ5lYDNTQ0IClJfK2/zWaDzXale6rVqt4SSBJYUkvX+4vv0jukRyIm5mVib1kd6pvZuxxLfa8txdWYOSYb4/qluywx3VJcKWs56r5T5ylQcTOwWzzWzxnj+Njbkl2pnGuR2DkOK7cf9/ma/JxkRWqcyDkP9/3KCXaoDD/RCk0FK//5z3/w0UcfYePGjaLbLFu2zDFiQzqPYBZNW/DZIUzIzQhIqfE3d5bhz7f0cxQtA6T1InLm7/HenJuO9Hgz3tt92q/9KMm98u+2w1VeGxFmJUYh0hyOHolReO53QxwjKs7EihNKPS7gyhTcyF7JjlExMYnRERjZK1mxGidSzkNov/4EbVSGnwSb5GBl/vz5WL58uddtSkpK0K9fP0n7LSoqwtSpU/HUU0/h5ptvFt1uwYIFeOSRRxwfW61WdO/eXdJ7EW1Ro2iaFOebL2L3idqAlBp37gjsTKgWja8CYv4e79fFVQCgWIl5f/FntvSXeY6prvycZBgNwKodrktu+Sm8BZNymfbtPsWYlRSN9LhILP2qxGNEa8qgTKw/WOG16nKY0YBnfjUAs9bsF33PZU5NK+V08xY7D/fA9nxTG5Zs9L1ff4I2KsNPgs3AcdIqJJw7dw61tbVet+nVqxdMJpPj49WrV+NPf/oT6uvrBbcvLi7G2LFj8cc//hFLly6VcjiwWq2wWCxoaGhAfHy8pNcSbSgorcVdq3YH9RjmjO2N/7mpD/ot/Er1G/c9+Vn469Q8r9uwFBBrt3MYvXybovkYweStQFrbJbtLoDE9v6fL6JQvUiu/slaa3VxU4dEPydt5+FvBVoyU/TpvmxJrxryPC1FltXmdotr56DjKWSGKk3L/ljyykpqaitTUVNkH5+6nn37CuHHjcO+990oOVEjnoIUh5qNVjXiv4GRARhh8NddjLfmvZD5GsEwf2QPX9EzyeYM1hRs9RqNYeft+zl57AK/cPRRTB3d1+Zqvqss8qVN4rPuVSsp+3bddNOVqKsNPNE/VnJXTp0+jrq4Op0+fRnt7OwoLCwEAvXv3RmxsLIqKijBu3DjccssteOSRR1BZWQkACAsLUzQgIoEj58lRC0PMXxdXOaZF1GTAlY7AQqSU/A8zGkSH9qWsMlKS0QC884fhONdow7xPDnp9b6MBWHjb1ZJGSKSS+v2UQ60AJFCUmqIiRE2qBitPPvkk3nnnHcfHQ4Z01D7Yvn07brzxRnz66ac4d+4c1qxZgzVr1ji2y8rKwsmTJ9U8NKICub1P1FheqlXR5jCvN0UpBcT4G6TY073QKiO12TkgPMyIXw3rhiNVVq8NBGeOyVY1UAHYv58PrvkBI7KTHdNLak3XaJXcJG9CAkVyzorWUM6KNogNtfOXOueKrt5eD8gfCTAYgtejZuHk/jjffJFpOesHM0eKPomvKyzH3A8Lfe7jhTsHe0xdCOFvuruOn8PK7aU+t1eC87Et21Tsd3KsP1i/nzyjAbipv2c9HCkNBwkhbFTNWSHEnRJD7WJD0b5WqsRHhmPq4C7okRSDN3acQFWjTXRbNaZE+ATEGaOyseFHtgJ2u47X+L3Ch3U7fopieHYS/rm/PCCjVzWNNqwrLEdaXCT+MrE/5t3cz6/kWH9InWLk6+G4c88XIoQEFgUrxG9ypi6EiC3LfGit+PLQ//vNQEzMy0RBaa3XQIU/joWT++NUXTPeLTjl67R8ktuw0Hn0xf2JXYkCYkICmYy7ZGOJ4//585ObHOsvpaYYqZorIcFFXZeJ35TofcLjRwKmDu7aUWOD8Te0sqGFabukGBNuVejJOMMS6XfDQvf+K3xQAfju5ixVMPovBbu/jLfvp1QsDQcJIeqgYIX4TempCx4/vSSGf9Jtt3Ooa2pj2mddU5vfXZBn35iDD2aOxM5Hx7lMCci5MfJP+/x5AOJBhXtwJMfEvEzsfHQcPpg5Ei/cORjv/WE4DCoOEgidX6ApHaRpYak9IaGGpoGI39SaumCdXnpuyxHmxNqkWLPfUyJ9M+JEp7PkVAmVssKHpdCXlFofBaW1qicla6G/jPP386PvT/vVIFMLS+0JCTUUrBC/KdX7xB3rE6yUVS4Z8R03GjVLj7sHGseqGpmO0f18Wet3eFsy7ivgCeQoQbBHJPjv57CsRKw/eFZyAUC5QTchxH8UrBBFqFFYSukn2Ey3G417UJESY8a8Tw6iyur/CJH76AVLsCLnfL1VZ521Zr9Hsz33hN5AjhIE6r3ERpmcPz9pQCY2/MieR0PVXAkJLgpWiGKULiyl1EoObzcaz9Ljyo8QqTVN5mvJOACPrsDuS3CV+h57W2IeyBEJsVEmoeaE0aYwtFxsd5kGE6uzQtVcCQkuKgpHNE2JYnFSC3rJrcTra5/eOvS+KiNxVm4DSPfmdHK/xwsn90dKnPnyEnMbZq894LEP1qKAShAbZRLDB6S/GdoV0eZwlxowoVbBlpBgoKJwpNOQm1syZ2wO+qTHybrR6KX0uNwcEPeEV6nfY+dCeM7fk1eMhqD1l/E2yiSGr52yq7TWo6uwUL4QBTCEBA8FK0TznIOHXcdrmEraj+qd6tfKEyWb07EuwZZabMzfHBDnYMc9QDtZ04zntx4FwD4dFswgz9fKMTGsK5XUGG0jhLCjOitEF/jg4eEJfZHpo16GeyJtsEmp8CuFv/VivAU7w7OT8NLvpdd6cS/qF6iRB39XGnl7PT+95P4zDHbBO6W12zkUlNZiXWE5Ckprg1YXhxAhNLJCdCXMaMCUQZleu/lOGZSpqeF5JSv8OpNbL0Yo4VVs5GDh5P5IjDFrfurD31Emsdcr0fdKLrWmnYT2K9Shm0aOiJZQsEJ0pd3OYf1B70+y6w9W4C8T+2vmpsp6I3VuAMh6YxLLN+GXLLOsavK2/Hn22gN45e6hTB2eg2l4dpLHMm0WvlYqKdX3Siq1pp02F1Vg0fqfUGm90kcrISoc9S2XPLal5o1ESyhYIbrCkpsQ7Gqp7liWBxsNwg0AWW4SYrkiQk/L7gmvwRw5EBLIJFaW5ehqjYp54y149Cd4EFuRJhSoANS8kWgLBStEV4Jx8/AXy3SNe3qA1BuTUEIwS8JrsEYOhPgzmrC3rE7yqArLSiW1+l6JUSt4bLdzmP/ZIcnHo4VWCYQAFKwQnQn0zUMpYtM1YsXUlHqq9bWqSSvBn5zRBOdRmGNVF5jeZ87Y3uiTHusI3ICOejXuwVzbJTveKziJk7XNiIsMQ2Nru+D+lC54p1bwuLu0VnIw50xLwT8JTRSsEF1RqxpsILiPdNQ02lymftwF4qlWC8GfnNEEoVEYFqN6pzi+l2IjOXld4/FNSbXP3kFqlOBXK3gsOFEj53ActBb8k9BDwQrRBeen6Duv7Y7nth5TtCR+oDiPdKwrLGd6jZpPtVoI/qSOJkitVAt4nofYPioaWpkDIH4aaUJuhuDojBzqBY/yjkfLwT8JLRSsEM0TegJOiI4A4Nr7Rm/9W1JizIpuJ4daHbOlkDKaIKdSrft5yNkHz2gAVvx6ILokRjuSmEcv36bYqh21gsf8nGSmYoru7wVoO/gnoYOKwhFNEyvI1dB8EQ3NF/GboV1xT34WFk7uj2//PFY3gQoA9oddle8TfD6N1AJwSpEymiCnUq37ecitdgt05BfVt1xEfk4ythRXKl4sjg8eAc8fuz/Bw8heyY4AX4zBbZeB+vkTwoJGVohmsXQV/nT/lamUN3aW6WpkpeaCzfdGErbzRzBL5UsZTdjw41mmfXrrDeXvtNqpumZVl3yLJWP7M3IYZjTgmV8N8NpM86W7huiiACAJTRSsEM2S+gSstyJWWkhudaZkPySp78s6FcX6vfDWG8rf72dWUrTqS77VCB4n5mXi1buHYtH6YlRaqVIt0RcKVohmSX0C1lsRKy0kt2oF62iCEt8zliJ9YowGYHp+T3zFOMXjzyiOGsGjXjqKE+KOghWiWXKegPVUxEoLya1awnIjVeJ7JrenEgDMHJMNU7hRc6NiUgRrBI0Qf1CCLdEsf7oK66WIldrJrXrrpMvStVmJ75nYPjItkZiQmwb3tzUagP+6PhsLJnUkv/r63TRAe92/CdEzA8dx2r56+WC1WmGxWNDQ0ID4+PhgHw5RGL8aCJD2BPzBzJG6enpUoyeOWs3wtEKJ75nYPvgKtqfqmpGVFI3p+T1hCnd9thP73eSPQC+5U4QEi5T7NwUrRPOkVCvlcxZ2PjouZKZPhIgVPaMbqbI6e0BIiJooWCGdjvMT8MmaJq8VbEP9Rtxu5zwKlTmjgE5ZgewUTUhnIuX+TQm2RBfckwKvyohTtA5FZ6KlTsqhQK2EVQqCCLmCghWiS7QEU5xWOikT+Wh6iRBXqq4GWrp0Ka677jpER0cjISHB67a1tbXo1q0bDAYD6uvr1Tws0kmwrBwJRXpeVkvEW0z4U8afEL1TNVhpa2vDHXfcgQcffNDntvfffz8GDhyo5uEQEhJoWS07rS3tZmkxsfjL4qAfJyGBpuo00OLFiwEAq1ev9rrdK6+8gvr6ejz55JP46quv1DwkQjo9KjbHRotTLZRvRIiwoBeFKy4uxl//+le8++67MBp9H47NZoPVanX5RwhxFexOylqn1akWyjciRFhQE2xtNhvuuusurFixAj169MCJEyd8vmbZsmWOERtCiDhKQhamZsdkf1G+ESHCJI+szJ8/HwaDweu/w4cPM+1rwYIF6N+/P+6++27m91+wYAEaGhoc/86cOSP1FAgJGZSE7EnKVEugUb4RIcIkj6zMmzcPM2bM8LpNr169mPa1bds2HDp0CJ9++ikAgK9Pl5KSgscff1xwBMVsNsNsNks7aEIIuUzLUy2Ub0SIMMnBSmpqKlJTUxV583/+859oaWlxfPz999/jvvvuw44dO5CTk6PIexBCiDOtT7Xw+UZU9JCQK1TNWTl9+jTq6upw+vRptLe3o7CwEADQu3dvxMbGegQkNTU1AID+/fv7rMtCCCFy8FMtlQ2tgnkrfDuCYE61UL4RIa5UDVaefPJJvPPOO46PhwwZAgDYvn07brzxRjXfmhBCBOllqkWtMv6E6BE1MiSEhCQt1lkhJJRQI0NCCPGBploI0Q8KVgghIYumWgjRh6BXsCWEEEII8YaCFUIIIYRoGgUrhBBCCNE0ClYIIYQQomkUrBBCCCFE0yhYIYQQQoimUbBCCCGEEE2jYIUQQgghmkbBCiGEEEI0jYIVQgghhGgaBSuEEEII0TQKVgghhBCiaRSsEEIIIUTTKFghhBBCiKZRsEIIIYQQTaNghRBCCCGaRsEKIYQQQjSNghVCCCGEaFp4sA+AEBbtdg57y+pQ3diKtLhIDM9OQpjREOzDIoQQEgAUrBDN21xUgcVfFqOiodXxuUxLJJ76RS4m5mUG8cgIIYQEAk0DEU3bXFSBB9fsdwlUAKCyoRUPrtmPzUUVQToyQgghgULBCtGsdjuHxV8WgxP4Gv+5xV8Wo90utAUhhJDOgoIVoll7y+o8RlSccQAqGlqxt6wucAdFCCEk4ChYIZpV3SgeqMjZjhBCiD5Rgi3RrLS4SEW3k7KiiFYfEUKIdlCwQjRreHYSMi2RqGxoFcxbMQDIsHQEEr5IWVFEq48IIURbaBqIaFaY0YCnfpELoCMwccZ//NQvcn2OeEhZUUSrjwghRHsoWCGaNjEvE6/cPRQZFtepngxLJF65e6jPkQ4pK4po9REhhGiTatNAS5cuxcaNG1FYWAiTyYT6+nrB7VavXo2///3vOHr0KOLj43HHHXfgpZdeUuuwiA5NzMvEhNwMWTkkUlcUsW6bn5Ms9TQIIYTIpFqw0tbWhjvuuAP5+fl48803Bbf5+9//jr/97W9YsWIFRowYgaamJpw8eVKtQyI6FmY0yAoQ1FhRRKuPCCEksFQLVhYvXgygY+REyPnz5/HEE0/gyy+/xE033eT4/MCBA9U6JBKClF5RJHVbQggh/gtazsqWLVtgt9tRXl6O/v37o1u3bvjtb3+LM2fOBOuQSCfErygSmzAyoGOlz/DsJEnbEkIICZygBSsnTpyA3W7H008/jeeffx6ffvop6urqMGHCBLS1tYm+zmazwWq1uvwjRIyUFUVKrT4ihBCiLEnByvz582EwGLz+O3z4MNO+7HY7Ll68iBdffBG33HILRo4ciQ8++ADHjh3D9u3bRV+3bNkyWCwWx7/u3btLOQUSgqSsKPJ39REhhBDlScpZmTdvHmbMmOF1m169ejHtKzOz46Kfm5vr+FxqaipSUlJw+vRp0dctWLAAjzzyiONjq9VKAQvxScqKIn9WHxFCCFGepGAlNTUVqampirzxqFGjAABHjhxBt27dAAB1dXWoqalBVlaW6OvMZjPMZrMix0BCi5QVRXJXHxFCCFGeaquBTp8+jbq6Opw+fRrt7e0oLCwEAPTu3RuxsbHo27cvpk6dirlz5+L1119HfHw8FixYgH79+mHs2LFqHRYhhBBCdEa1YOXJJ5/EO++84/h4yJAhAIDt27fjxhtvBAC8++67ePjhhzF58mQYjUbccMMN2Lx5MyIiItQ6LEIIIYTojIHjOF3XDrdarbBYLGhoaEB8fHywD4cQQgghDKTcv6k3ECGEEEI0jYIVQgghhGgaBSuEEEII0TQKVgghhBCiaRSsEEIIIUTTKFghhBBCiKapVmclUPiV19TQkBBCCNEP/r7NUkFF98FKbW0tAFB/IEIIIUSHGhsbYbFYvG6j+2AlKSkJQEd5f18nq0d8o8YzZ850yqJ3nfn8OvO5AXR+etaZzw2g89MLjuPQ2NiILl26+NxW98GK0diRdmOxWHT9Q/MlPj6ezk+nOvO5AXR+etaZzw2g89MD1kEGSrAlhBBCiKZRsEIIIYQQTdN9sGI2m/HUU0/BbDYH+1BUQeenX5353AA6Pz3rzOcG0Pl1RrrvukwIIYSQzk33IyuEEEII6dwoWCGEEEKIplGwQgghhBBNo2CFEEIIIZqm+2DlpZdeQs+ePREZGYkRI0Zg7969wT4kWb777jv84he/QJcuXWAwGPDFF1+4fJ3jODz55JPIzMxEVFQUxo8fj2PHjgXnYCVatmwZrr32WsTFxSEtLQ233347jhw54rJNa2srZs+ejeTkZMTGxuLXv/41qqqqgnTE0rzyyisYOHCgo0BTfn4+vvrqK8fX9Xxu7p555hkYDAb86U9/cnxOz+e3aNEiGAwGl3/9+vVzfF3P58YrLy/H3XffjeTkZERFRWHAgAH44YcfHF/X67WlZ8+eHj87g8GA2bNnA9D/z669vR0LFy5EdnY2oqKikJOTgyVLlrj00dHrz04WTsc+/PBDzmQycW+99Rb3008/cTNnzuQSEhK4qqqqYB+aZJs2beIef/xx7rPPPuMAcJ9//rnL15955hnOYrFwX3zxBXfw4EFuypQpXHZ2NtfS0hKcA5bglltu4d5++22uqKiIKyws5CZNmsT16NGDu3DhgmObWbNmcd27d+e++eYb7ocffuBGjhzJXXfddUE8anbr16/nNm7cyB09epQ7cuQI99hjj3ERERFcUVERx3H6Pjdne/fu5Xr27MkNHDiQmzt3ruPzej6/p556irv66qu5iooKx79z5845vq7nc+M4jqurq+OysrK4GTNmcHv27OFOnDjB/etf/+KOHz/u2Eav15bq6mqXn9uWLVs4ANz27ds5jtP/z27p0qVccnIyt2HDBq6srIz75JNPuNjYWO6FF15wbKPXn50cug5Whg8fzs2ePdvxcXt7O9elSxdu2bJlQTwq/7kHK3a7ncvIyOBWrFjh+Fx9fT1nNpu5Dz74IAhH6J/q6moOAPftt99yHNdxLhEREdwnn3zi2KakpIQDwBUUFATrMP2SmJjIvfHGG53m3BobG7k+ffpwW7Zs4W644QZHsKL383vqqae4QYMGCX5N7+fGcRz36KOPcqNHjxb9eme6tsydO5fLycnh7HZ7p/jZTZ48mbvvvvtcPverX/2KmzZtGsdxnetnx0K300BtbW3Yt28fxo8f7/ic0WjE+PHjUVBQEMQjU15ZWRkqKytdztVisWDEiBG6PNeGhgYAV5pQ7tu3DxcvXnQ5v379+qFHjx66O7/29nZ8+OGHaGpqQn5+fqc5t9mzZ2Py5Mku5wF0jp/dsWPH0KVLF/Tq1QvTpk3D6dOnAXSOc1u/fj2uueYa3HHHHUhLS8OQIUOwatUqx9c7y7Wlra0Na9aswX333QeDwdApfnbXXXcdvvnmGxw9ehQAcPDgQezcuRO33norgM7zs2Ol20aGNTU1aG9vR3p6usvn09PTcfjw4SAdlToqKysBQPBc+a/phd1ux5/+9CeMGjUKeXl5ADrOz2QyISEhwWVbPZ3foUOHkJ+fj9bWVsTGxuLzzz9Hbm4uCgsLdX9uH374Ifbv34/vv//e42t6/9mNGDECq1evxlVXXYWKigosXrwYY8aMQVFRke7PDQBOnDiBV155BY888ggee+wxfP/99/if//kfmEwm3HvvvZ3m2vLFF1+gvr4eM2bMAKD/30sAmD9/PqxWK/r164ewsDC0t7dj6dKlmDZtGoDOdV9godtghejT7NmzUVRUhJ07dwb7UBR11VVXobCwEA0NDfj0009x77334ttvvw32YfntzJkzmDt3LrZs2YLIyMhgH47i+KdUABg4cCBGjBiBrKwsfPzxx4iKigrikSnDbrfjmmuuwdNPPw0AGDJkCIqKivDqq6/i3nvvDfLRKefNN9/Erbfeii5dugT7UBTz8ccf4/3338fatWtx9dVXo7CwEH/605/QpUuXTvWzY6XbaaCUlBSEhYV5ZHdXVVUhIyMjSEelDv589H6uc+bMwYYNG7B9+3Z069bN8fmMjAy0tbWhvr7eZXs9nZ/JZELv3r0xbNgwLFu2DIMGDcILL7yg+3Pbt28fqqurMXToUISHhyM8PBzffvstXnzxRYSHhyM9PV3X5+cuISEBffv2xfHjx3X/swOAzMxM5Obmunyuf//+jqmuznBtOXXqFLZu3Yo//vGPjs91hp/dn//8Z8yfPx933nknBgwYgOnTp+Phhx/GsmXLAHSOn50Uug1WTCYThg0bhm+++cbxObvdjm+++Qb5+flBPDLlZWdnIyMjw+VcrVYr9uzZo4tz5TgOc+bMweeff45t27YhOzvb5evDhg1DRESEy/kdOXIEp0+f1sX5CbHb7bDZbLo/t5tuugmHDh1CYWGh498111yDadOmOf5fz+fn7sKFCygtLUVmZqbuf3YAMGrUKI8yAUePHkVWVhYA/V9bAODtt99GWloaJk+e7PhcZ/jZNTc3w2h0vUWHhYXBbrcD6Bw/O0mCneHrjw8//JAzm83c6tWrueLiYu6BBx7gEhISuMrKymAfmmSNjY3cgQMHuAMHDnAAuL///e/cgQMHuFOnTnEc17FELSEhgVu3bh33448/clOnTtXNErUHH3yQs1gs3L///W+XpYbNzc2ObWbNmsX16NGD27ZtG/fDDz9w+fn5XH5+fhCPmt38+fO5b7/9lisrK+N+/PFHbv78+ZzBYOC+/vprjuP0fW5CnFcDcZy+z2/evHncv//9b66srIzbtWsXN378eC4lJYWrrq7mOE7f58ZxHcvNw8PDuaVLl3LHjh3j3n//fS46Oppbs2aNYxs9X1va29u5Hj16cI8++qjH1/T+s7v33nu5rl27OpYuf/bZZ1xKSgr3l7/8xbGNnn92Uuk6WOE4jvvHP/7B9ejRgzOZTNzw4cO53bt3B/uQZNm+fTsHwOPfvffey3FcxzK1hQsXcunp6ZzZbOZuuukm7siRI8E9aEZC5wWAe/vttx3btLS0cA899BCXmJjIRUdHc7/85S+5ioqK4B20BPfddx+XlZXFmUwmLjU1lbvpppscgQrH6fvchLgHK3o+v9/97ndcZmYmZzKZuK5du3K/+93vXGqQ6PnceF9++SWXl5fHmc1mrl+/ftzrr7/u8nU9X1v+9a9/cQAEj1fvPzur1crNnTuX69GjBxcZGcn16tWLe/zxxzmbzebYRs8/O6kMHOdUDo8QQgghRGN0m7NCCCGEkNBAwQohhBBCNI2CFUIIIYRoGgUrhBBCCNE0ClYIIYQQomkUrBBCCCFE0yhYIYQQQoimUbBCCCGEEE2jYIUQQgghmkbBCiGEEEI0jYIVQgghhGgaBSuEEEII0bT/D8KAYhUFpoRPAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"integrity check: vtd-based pops\")\n",
    "HDvtdbasedPop = [0. for t in range(nHDs)]\n",
    "HDvPop = [0. for t in range(nHDs)]\n",
    "nSurrs = [0. for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "        if u in surroundedVTDs:\n",
    "            nSurrs[t] += 1\n",
    "    for v in HDfullVTDlist[t]:\n",
    "        HDvtdbasedPop[t] += origVTDpop[v] #tractPop[v]\n",
    "    for i,v in enumerate(HDpartialVTDlist[t]):\n",
    "        HDvtdbasedPop[t] += HDvtdFrac[t][i] * origVTDpop[v] #tractPop[v] also works\n",
    "        \n",
    "plt.scatter([nSurrs[t] for t in popHDlist], [HDvPop[t] - HDvtdbasedPop[t] for t in popHDlist] )\n",
    "print(\"x = n surrounded, y= unit - vtd-based\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ef27af54-daf5-4e8f-9230-bce5b0b1e705",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "id": "3ad3342b-b8e3-46f5-a3e5-f49df386b88f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, read in the votes by vtd to compute ensemble vote margin vs. true state vote margin\n",
      "Let's read in the 2020 and 2016 voting data for OH\n",
      "In year/election 2020 Dem and GOP total votes were 2678283 3154724 for a stateGOP of 0.54084\n",
      "There are a total of 8941  vote-mapped voting districts from election(s) in year  2020\n",
      "In year/election 2016 Dem and GOP total votes were 2392589 2840665 for a stateGOP of 0.54281\n",
      "There are a total of 8941  vote-mapped voting districts from election(s) in year  2016\n"
     ]
    }
   ],
   "source": [
    "print(\"Now, read in the votes by vtd to compute ensemble vote margin vs. true state vote margin\")\n",
    "#note: we started w possibility of separate election --> 2020 vtd files by year.  Now we use ALARM combined 2016+2020 --> 2020 csv's for all exc CA\n",
    "# copied from \"HDpartisanAnalysis\"\n",
    "print(\"Let's read in the 2020 and 2016 voting data for\",STATE)\n",
    "#DemCandidates, RepCandidates, vestDFs = [\"G16PREDCLI\"], [\"G16PRERTRU\" ], list()\n",
    "#DemCandidates, RepCandidates, vestDFs = [\"G20PREDBID\", \"G16PREDCli\"], [\"G20PRERTRU\" ,\"G16PRERTru\" ], list()\n",
    "DemCandidates, RepCandidates, vestDFs = [\"pre_20_dem_bid\", \"pre_16_dem_cli\"], [\"pre_20_rep_tru\" ,\"pre_16_rep_tru\" ], list()\n",
    "nYears = 2\n",
    "unitIDs, vestReps,vestDems,yearLean = [list()]*nYears, [0]*nYears, [0]*nYears, [0.5]*nYears\n",
    "years = [str(2020),str(2016)]\n",
    "DemVotes, RepVotes = [list() for y in years], [list() for y in years]\n",
    "vestDir = \"./state_map_files/\" + STATE.lower()\n",
    "vestDF = pd.read_csv(vestDir + \"_2020_vtd.csv\")\n",
    "mergedDF = vestDF.copy() #pd.merge(mergedDF,vestDF, on = \"GEOID20\")\n",
    "for y,year in enumerate(years):\n",
    "    DemVotes[y], RepVotes[y], unitIDs[y] = mergedDF[DemCandidates[y]], mergedDF[RepCandidates[y]], vestDF[(\"GEOID20\")]\n",
    "    vestDems[y], vestReps[y] = np.sum(DemVotes[y]), np.sum(RepVotes[y])\n",
    "    yearLean[y] = vestReps[y]/float(vestDems[y]+vestReps[y])\n",
    "    print(\"In year/election\",year,\"Dem and GOP total votes were\",int(vestDems[y]),int(vestReps[y]),\"for a stateGOP of\",r5(yearLean[y]) )\n",
    "    nVTDs = len(DemVotes[y])\n",
    "    print(\"There are a total of\",nVTDs,\" vote-mapped voting districts from election(s) in year \",years[y])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f628069d-4177-401e-bf49-b7f194d0ef8b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "id": "5cf73783-4a48-4a3f-a2e3-c1b9ff32c859",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now let's read in our ensemble of HD districts for OH\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the filename with the vtd assignments to districts; e.g. NC2666patchedWithCutsVTDs.csv OH8941redoPatchedVTDs.csv\n",
      "enter the number of HD-drawn districts in the state; e.g. 8 15\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This ensemble or enacted map describes 8941 drawn districts.  This state has 15 districts per map\n",
      "converting vtd list strings to vtd lists by drawn district ...\n",
      "the total weight across all rows should be 1.000, actually is 1.0\n",
      "I am assuming we already read in a 'tractPopFile' of Census vtd geoms & pops with a GEOID20 column\n",
      "translating from HD order of precinct rows to VEST order\n"
     ]
    }
   ],
   "source": [
    "print(\"Now let's read in our ensemble of HD districts for\",STATE)\n",
    "infilename = input(\"enter the filename with the vtd assignments to districts; e.g. NC2666patchedWithCutsVTDs.csv\")\n",
    "\n",
    "HDdf = pd.read_csv(\"2024state_HD_output/\"+infilename)\n",
    "nRows = len(HDdf)\n",
    "nStateDistricts = int(input(\"enter the number of HD-drawn districts in the state; e.g. 8\"))\n",
    "print(\"This ensemble or enacted map describes\",nRows,\"drawn districts.  This state has\",nStateDistricts,\"districts per map\")\n",
    "\n",
    "HDvPop = HDdf[\"HDvPop\"].to_list()\n",
    "HDweight = HDdf['HDweight'].to_list()\n",
    "#tractPop = HDdf['tractPop'].to_list()\n",
    "#statePop = np.sum(tractPop)\n",
    "tractCPx = HDdf['centroid x'].to_list()\n",
    "tractCPy = HDdf['centroid y'].to_list()\n",
    "HDvtdListString = HDdf[\"HDvtdList\"]\n",
    "print(\"converting vtd list strings to vtd lists by drawn district ...\")\n",
    "HDvtdList = [list() for t in range(nRows) ]\n",
    "for t in range(nRows):\n",
    "    if HDvtdListString[t] != \"[]\":\n",
    "        HDvtdList[t] = ast.literal_eval(HDvtdListString[t])\n",
    "\n",
    "if \"partials\" in HDdf.columns.values: #\"splitTractNo\" #.to_list():\n",
    "    splitTractList, splitTractUseList = HDdf['partials'], HDdf['HDvtdFrac']\n",
    "    splitTractNo = [ast.literal_eval(splitTractList[t])    for t in range(nRows)]\n",
    "    splitTractUse = [ast.literal_eval(splitTractUseList[t]) for t in range(nRows)]\n",
    "else :  #incoming file didn't use any partial units, only whole ones\n",
    "    splitTractNo, splitTractUse = [[] for t in range(nRows)] , [ [] for t in range(nRows)]\n",
    "\n",
    "print(\"the total weight across all rows should be 1.000, actually is\",r5(np.sum(HDweight)) )\n",
    "print(\"I am assuming we already read in a 'tractPopFile' of Census vtd geoms & pops with a GEOID20 column\")\n",
    "censusGEOID20 = [ str( tractPopFile['GEOID20'][i]) for i in range(len(tractPopFile['GEOID20'])) ] #force strings to match\n",
    "miniHDdf = pd.DataFrame( {\"GEOID20\":censusGEOID20} )\n",
    "vestNo = [v for v in range(nVTDs)]\n",
    "print(\"translating from HD order of precinct rows to VEST order\")\n",
    "mergedGEO = [str(mergedDF['GEOID20'][i]) for i in range(len(mergedDF['GEOID20'])) ]  #force strings to match\n",
    "miniVestDF = pd.DataFrame( {\"GEOID20\":mergedGEO, \"vestNo\":vestNo} )\n",
    "mappingDF = pd.merge(miniHDdf,miniVestDF,on=\"GEOID20\")\n",
    "vestID = mappingDF['vestNo']  #this maps each named unit in a HDVL to the correct vestNo row with voting data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "id": "540c6d1d-7728-48bf-90f0-f124b25ac7c2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sanity check - Dem-leaning vtds for year 2020\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"sanity check - Dem-leaning vtds for year\",years[0])  #for MA, do GOP-leaning.  Other states, use Dem-leaning\n",
    "for v in range(nVTDs):\n",
    "    plotPoly(vtdGeom[v],0.2)\n",
    "    if DemVotes[0][vestID[v]] > RepVotes[0][vestID[v]]:\n",
    "        plt.text(vtdGeom[v].centroid.x, vtdGeom[v].centroid.y, \"D\", color = \"blue\",fontsize=6)\n",
    "        #plotCenter(\"d\",vtdGeom[v],6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "id": "56ed7e9d-1400-4848-892e-737555552d58",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's compute the ensemble average vote margin (GOP -  Dem total votes) for 2020 vs. true statewide result\n",
      "working on drawn district no 0\n",
      "working on drawn district no 1000\n",
      "working on drawn district no 2000\n",
      "working on drawn district no 3000\n",
      "working on drawn district no 4000\n",
      "working on drawn district no 5000\n",
      "working on drawn district no 6000\n",
      "working on drawn district no 7000\n",
      "working on drawn district no 8000\n",
      "here is the table of Dem and Rep votes, vote margin for true 2020 vs. ensemble\n",
      "true 2020: 2678283 3154724 476441\n",
      "ensemble : 2667045 3172235 505190\n",
      "the true and ensemble state GOP leans are 0.54084 0.5432579047334372\n"
     ]
    }
   ],
   "source": [
    "print(\"Now, let's compute the ensemble average vote margin (GOP -  Dem total votes) for 2020 vs. true statewide result\")\n",
    "nDrawnDistricts = len(HDweight)  #now including cut districts\n",
    "nMapDistricts = nCutDistricts + nDistricts\n",
    "nEnsembleDems, nEnsembleReps = [0.]*nYears, [0.]*nYears\n",
    "y=0\n",
    "for t in range(nDrawnDistricts):\n",
    "    if t%1000 == 0:\n",
    "        print(\"working on drawn district no\",t)\n",
    "    nEnsembleDems[y] += nMapDistricts* HDweight[t] * ( np.sum([DemVotes[y][vestID[v]] for v in HDvtdList[t] ])\n",
    "                                               + np.sum([DemVotes[y][vestID[v]] * splitTractUse[t][i] for i,v in enumerate(splitTractNo[t]) ])  )\n",
    "    nEnsembleReps[y] += nMapDistricts* HDweight[t] * ( np.sum([RepVotes[y][vestID[v]] for v in HDvtdList[t] ])\n",
    "                                               + np.sum([RepVotes[y][vestID[v]] * splitTractUse[t][i] for i,v in enumerate(splitTractNo[t]) ])  )\n",
    "\n",
    "print(\"here is the table of Dem and Rep votes, vote margin for true 2020 vs. ensemble\")\n",
    "print(\"true 2020:\",int(vestDems[y]),int(vestReps[y]),              int(vestReps[y] - vestDems[y]) )\n",
    "print(\"ensemble :\",int(nEnsembleDems[y]),int(nEnsembleReps[y]),    int(nEnsembleReps[y] - nEnsembleDems[y]) )\n",
    "print(\"the true and ensemble state GOP leans are\",r5(vestReps[y]/(vestReps[y]+vestDems[y])),\n",
    "      nEnsembleReps[y]/(nEnsembleReps[y]+nEnsembleDems[y]) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "id": "5c607c63-df0d-4334-8131-368c090c76d2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total drawn districts, HD-drawn, map districts 8941 8941 15\n"
     ]
    }
   ],
   "source": [
    "print(\"total drawn districts, HD-drawn, map districts\",nDrawnDistricts,nHDs, nMapDistricts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bb0d0d12-6bf4-4d5f-9236-fa8735393e98",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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